id
stringlengths 3
6
| task
stringlengths 11
14
| query
stringlengths 148
535
| answer
stringlengths 24
1.2k
|
|---|---|---|---|
cp1244 | CP_re_ptb_2216 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
However as expected Brazil waited for the crop estimate to come out and then cut the export price of its juice concentrate to about 1.34 a pound from around 1.55
-> | ( S ( ADVP ( RB However ) ) ( SBAR-ADV ( IN as ) ( S ( VP ( VBN expected ) ) ) ) ( NP-SBJ ( NNP Brazil ) ) ( VP ( VP ( VBD waited ) ( SBAR-CLR ( IN for ) ( S ( NP-SBJ ( DT the ) ( NN crop ) ( NN estimate ) ) ( VP ( TO to ) ( VP ( VB come ) ( PRT ( RP out ) ) ) ) ) ) ) ( CC and ) ( RB then ) ( VP ( VB cut ) ( NP ( NP ( DT the ) ( NN export ) ( NN price ) ) ( PP ( IN of ) ( NP ( PRP$ its ) ( NN juice ) ( NN concentrate ) ) ) ) ( PP-CLR ( TO to ) ( NP ( NP ( QP ( RB about ) ( CD 1.34 ) ) ) ( NP-ADV ( DT a ) ( NN pound ) ) ) ) ( PP-CLR ( IN from ) ( NP ( QP ( IN around ) ( CD 1.55 ) ) ) ) ) ) ) |
cp850 | CP_re_ptb_1886 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Some analysts such as Murray Grossner of Toronto-based Richardson Greenshields Inc. believe the government ruling leaves the door open for other bidders such as Switzerland 's Ciba-Geigy and Chiron Corp. of Emeryville Calif
-> | ( S ( NP-SBJ ( NP ( DT Some ) ( NNS analysts ) ) ( PP ( JJ such ) ( IN as ) ( NP ( NP ( NNP Murray ) ( NNP Grossner ) ) ( PP ( IN of ) ( NP ( JJ Toronto-based ) ( NNP Richardson ) ( NNP Greenshields ) ( NNP Inc. ) ) ) ) ) ) ( VP ( VBP believe ) ( SBAR ( S ( NP-SBJ ( DT the ) ( NN government ) ( NN ruling ) ) ( VP ( VBZ leaves ) ( S ( NP-SBJ ( DT the ) ( NN door ) ) ( ADJP-PRD ( JJ open ) ( PP ( IN for ) ( NP ( NP ( JJ other ) ( NNS bidders ) ) ( PP ( JJ such ) ( IN as ) ( NP ( NP ( NP ( NNP Switzerland ) ( POS 's ) ) ( NNP Ciba-Geigy ) ) ( CC and ) ( NP ( NP ( NNP Chiron ) ( NNP Corp. ) ) ( PP ( IN of ) ( NP ( NP ( NNP Emeryville ) ) ( NP ( NNP Calif ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) |
cp1526 | CP_re_ptb_645 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
The Dow 's decline was second in point terms only to the 508-point Black Monday crash that occurred Oct. 19 1987
-> | ( S ( NP-SBJ ( NP ( DT The ) ( NNP Dow ) ( POS 's ) ) ( NN decline ) ) ( VP ( VBD was ) ( ADJP-PRD ( JJ second ) ( PP ( IN in ) ( NP ( NN point ) ( NNS terms ) ) ) ( PP ( ADVP ( RB only ) ) ( TO to ) ( NP ( NP ( DT the ) ( JJ 508-point ) ( NNP Black ) ( NNP Monday ) ( NN crash ) ) ( SBAR ( WHNP-1 ( WDT that ) ) ( S ( VP ( VBD occurred ) ( NP-TMP ( NNP Oct. ) ( CD 19 ) ( CD 1987 ) ) ) ) ) ) ) ) ) ) |
cp1941 | CP_re_ptb_338 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
The company may have chosen to market the product under the Cheer name since it 's already expanded its best-selling Tide into 16 different varieties including this year 's big hit Tide with Bleach
-> | ( S ( NP-SBJ-1 ( DT The ) ( NN company ) ) ( VP ( MD may ) ( VP ( VB have ) ( VP ( VBN chosen ) ( S ( VP ( TO to ) ( VP ( VB market ) ( NP ( DT the ) ( NN product ) ) ( PP-LOC ( IN under ) ( NP ( DT the ) ( NNP Cheer ) ( NN name ) ) ) ) ) ) ( SBAR-PRP ( IN since ) ( S ( NP-SBJ ( PRP it ) ) ( VP ( VBZ 's ) ( ADVP-TMP ( RB already ) ) ( VP ( VBN expanded ) ( NP ( PRP$ its ) ( JJ best-selling ) ( NNP Tide ) ) ( PP-DIR ( IN into ) ( NP ( NP ( CD 16 ) ( JJ different ) ( NNS varieties ) ) ( PP ( VBG including ) ( NP ( NP ( NP ( DT this ) ( NN year ) ( POS 's ) ) ( JJ big ) ( NN hit ) ) ( NP ( NP ( NNP Tide ) ) ( PP ( IN with ) ( NP ( NN Bleach ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) |
cp2370 | CP_re_ptb_2124 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Analysts said they expected Upjohn 's profit to be flat or rise by only about 2 % to 4 % as compared with 89.6 million or 49 cents a share it earned a year ago
-> | ( S ( NP-SBJ ( NNS Analysts ) ) ( VP ( VBD said ) ( SBAR ( S ( NP-SBJ ( PRP they ) ) ( VP ( VBD expected ) ( S ( NP-SBJ ( NP ( NNP Upjohn ) ( POS 's ) ) ( NN profit ) ) ( VP ( TO to ) ( VP ( VP ( VB be ) ( ADJP-PRD ( JJ flat ) ) ) ( CC or ) ( VP ( VB rise ) ( PP-EXT ( IN by ) ( NP ( NP ( QP ( RB only ) ( RB about ) ( CD 2 ) ( NN % ) ( TO to ) ( CD 4 ) ( NN % ) ) ) ( SBAR ( IN as ) ( S ( VP ( VBN compared ) ( PP-CLR ( IN with ) ( NP ( NP ( NP ( QP ( CD 89.6 ) ( CD million ) ) ) ( CC or ) ( NP ( NP ( CD 49 ) ( NNS cents ) ) ( NP-ADV ( DT a ) ( NN share ) ) ) ) ( SBAR ( S ( NP-SBJ ( PRP it ) ) ( VP ( VBD earned ) ( ADVP-TMP ( NP ( DT a ) ( NN year ) ) ( RB ago ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) |
cp1150 | CP_re_ptb_1180 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
A State Department spokesman acknowledged that the U.S. is discussing the allegations with the Italian government and Cocom but declined to confirm any details
-> | ( S ( NP-SBJ-1 ( DT A ) ( NNP State ) ( NNP Department ) ( NN spokesman ) ) ( VP ( VP ( VBD acknowledged ) ( SBAR ( IN that ) ( S ( NP-SBJ ( DT the ) ( NNP U.S. ) ) ( VP ( VBZ is ) ( VP ( VBG discussing ) ( NP ( DT the ) ( NNS allegations ) ) ( PP ( IN with ) ( NP ( NP ( DT the ) ( JJ Italian ) ( NN government ) ) ( CC and ) ( NP ( NNP Cocom ) ) ) ) ) ) ) ) ) ( CC but ) ( VP ( VBD declined ) ( S ( VP ( TO to ) ( VP ( VB confirm ) ( NP ( DT any ) ( NNS details ) ) ) ) ) ) ) ) |
cp42 | CP_re_ptb_1484 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
The industry defies characterization
-> | ( S ( NP-SBJ ( DT The ) ( NN industry ) ) ( VP ( VBZ defies ) ( NP ( NN characterization ) ) ) ) |
cp59 | CP_re_ptb_1685 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Whether it 's 5 billion or 3.5 billion it does n't matter
-> | ( S ( SBAR ( IN Whether ) ( S ( NP-SBJ ( PRP it ) ) ( VP ( VBZ 's ) ( NP-PRD ( NP ( QP ( CD 5 ) ( CD billion ) ) ) ( CC or ) ( NP ( QP ( CD 3.5 ) ( CD billion ) ) ) ) ) ) ) ( NP-SBJ ( PRP it ) ) ( VP ( VBZ does ) ( RB n't ) ( NP ( NN matter ) ) ) ) |
cp1830 | CP_re_ptb_2066 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Revenue gained 6 % to 2.55 billion from 2.4 billion
-> | ( S ( NP-SBJ ( NN Revenue ) ) ( VP ( VBD gained ) ( NP ( CD 6 ) ( NN % ) ) ( PP-DIR ( TO to ) ( NP ( QP ( CD 2.55 ) ( CD billion ) ) ) ) ( PP-DIR ( IN from ) ( NP ( QP ( CD 2.4 ) ( CD billion ) ) ) ) ) ) |
cp385 | CP_re_ptb_1109 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Six of the 12 midwestern states have been growing steadily since 1980 Illinois Kansas Minnesota Missouri South Dakota and Wisconsin
-> | ( S ( S ( NP-SBJ ( NP ( CD Six ) ) ( PP ( IN of ) ( NP ( DT the ) ( CD 12 ) ( JJ midwestern ) ( NNS states ) ) ) ) ( VP ( VBP have ) ( VP ( VBN been ) ( VP ( VBG growing ) ( ADVP-MNR ( RB steadily ) ) ( PP-TMP ( IN since ) ( NP ( CD 1980 ) ) ) ) ) ) ) ( NP ( NP ( NNP Illinois ) ) ( NP ( NNP Kansas ) ) ( NP ( NNP Minnesota ) ) ( NP ( NNP Missouri ) ) ( NP ( NNP South ) ( NNP Dakota ) ) ( CC and ) ( NP ( NNP Wisconsin ) ) ) ) |
cp1851 | CP_re_ptb_1438 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Posted yields on 30-year mortgage commitments for delivery within 30 days
-> | ( FRAG ( NP ( NP ( VBN Posted ) ( NNS yields ) ) ( PP ( IN on ) ( NP ( NP ( JJ 30-year ) ( NN mortgage ) ( NNS commitments ) ) ( PP ( IN for ) ( NP ( NP ( NN delivery ) ) ( PP-TMP ( IN within ) ( NP ( CD 30 ) ( NNS days ) ) ) ) ) ) ) ) ) |
cp2299 | CP_re_ptb_1773 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Pricing details were n't immediately available
-> | ( S ( NP-SBJ ( NN Pricing ) ( NNS details ) ) ( VP ( VBD were ) ( RB n't ) ( ADJP-PRD ( RB immediately ) ( JJ available ) ) ) ) |
cp616 | CP_re_ptb_473 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
2.6 million Class A shares via Smith Barney Harris Upham & Co
-> | ( NP ( NP ( QP ( CD 2.6 ) ( CD million ) ) ( NNP Class ) ( NNP A ) ( NNS shares ) ) ( PP ( IN via ) ( NP ( NNP Smith ) ( NNP Barney ) ( NNP Harris ) ( NNP Upham ) ( CC & ) ( NNP Co ) ) ) ) |
cp189 | CP_re_ptb_216 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
We were just starting to get the public 's confidence back lamented Mr. Mullins of Dean Witter
-> | ( SINV ( S-TPC-1 ( NP-SBJ-2 ( PRP We ) ) ( VP ( VBD were ) ( ADVP ( RB just ) ) ( VP ( VBG starting ) ( S ( VP ( TO to ) ( VP ( VB get ) ( NP ( NP ( DT the ) ( NN public ) ( POS 's ) ) ( NN confidence ) ) ( PRT ( RP back ) ) ) ) ) ) ) ) ( VP ( VBD lamented ) ) ( NP-SBJ ( NP ( NNP Mr. ) ( NNP Mullins ) ) ( PP ( IN of ) ( NP ( NNP Dean ) ( NNP Witter ) ) ) ) ) |
cp2177 | CP_re_ptb_853 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Schwarzwaldklinik Black Forest Clinic a kind of German St Elsewhere set in a health spa is popular in Germany and has spread into France
-> | ( S ( NP-SBJ ( NP-TTL ( NNP Schwarzwaldklinik ) ) ( PRN ( NP ( NNP Black ) ( NNP Forest ) ( NNP Clinic ) ) ) ( NP ( NP ( DT a ) ( NN kind ) ) ( PP ( IN of ) ( NP ( NP ( NNP German ) ( NX-TTL ( NNP St ) ( NNP Elsewhere ) ) ) ( VP ( VBN set ) ( PP-LOC-CLR ( IN in ) ( NP ( DT a ) ( NN health ) ( NN spa ) ) ) ) ) ) ) ) ( VP ( VP ( VBZ is ) ( ADJP-PRD ( JJ popular ) ) ( PP-LOC ( IN in ) ( NP ( NNP Germany ) ) ) ) ( CC and ) ( VP ( VBZ has ) ( VP ( VBN spread ) ( PP-DIR ( IN into ) ( NP ( NNP France ) ) ) ) ) ) ) |
cp2306 | CP_re_ptb_324 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Measuring cups may soon be replaced by tablespoons in the laundry room
-> | ( S ( NP-SBJ-1 ( NN Measuring ) ( NNS cups ) ) ( VP ( MD may ) ( ADVP-TMP ( RB soon ) ) ( VP ( VB be ) ( VP ( VBN replaced ) ( PP ( IN by ) ( NP-LGS ( NNS tablespoons ) ) ) ( PP-LOC ( IN in ) ( NP ( DT the ) ( NN laundry ) ( NN room ) ) ) ) ) ) ) |
cp1872 | CP_re_ptb_318 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
A similar provision is in the House version
-> | ( S ( NP-SBJ ( DT A ) ( JJ similar ) ( NN provision ) ) ( VP ( VBZ is ) ( PP-LOC-PRD ( IN in ) ( NP ( DT the ) ( NNP House ) ( NN version ) ) ) ) ) |
cp1525 | CP_re_ptb_1765 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Rated Baa-1 by Moody 's and triple-B-plus by S&P the issue will be sold through underwriters led by Morgan Stanley & Co
-> | ( S ( S-ADV ( VP ( VP ( VBN Rated ) ( S ( ADJP-PRD-3 ( JJ Baa-1 ) ) ) ( PP-4 ( IN by ) ( NP-LGS ( NNP Moody ) ( POS 's ) ) ) ) ( CC and ) ( VP ( ADJP-PRD=3 ( JJ triple-B-plus ) ) ( PP=4 ( IN by ) ( NP-LGS ( NNP S&P ) ) ) ) ) ) ( NP-SBJ-2 ( DT the ) ( NN issue ) ) ( VP ( MD will ) ( VP ( VB be ) ( VP ( VBN sold ) ( PP ( IN through ) ( NP ( NP ( NNS underwriters ) ) ( VP ( VBN led ) ( PP ( IN by ) ( NP-LGS ( NNP Morgan ) ( NNP Stanley ) ( CC & ) ( NNP Co ) ) ) ) ) ) ) ) ) ) |
cp465 | CP_re_ptb_1504 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Mr. Crabs said this probably is behind the expected weak performance of Aldus Corp. maker of a widely used computer publishing program
-> | ( S ( NP-SBJ ( NNP Mr. ) ( NNP Crabs ) ) ( VP ( VBD said ) ( SBAR ( S ( NP-SBJ ( DT this ) ) ( ADVP ( RB probably ) ) ( VP ( VBZ is ) ( PP-LOC-PRD ( IN behind ) ( NP ( NP ( DT the ) ( JJ expected ) ( JJ weak ) ( NN performance ) ) ( PP ( IN of ) ( NP ( NP ( NNP Aldus ) ( NNP Corp. ) ) ( NP ( NP ( NN maker ) ) ( PP ( IN of ) ( NP ( DT a ) ( ADJP ( RB widely ) ( VBN used ) ) ( NN computer ) ( NN publishing ) ( NN program ) ) ) ) ) ) ) ) ) ) ) ) ) |
cp1676 | CP_re_ptb_1875 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
He said it has reached the same conclusions about some attempts to buy closely held concerns but eventually allowed those acquisitions to proceed
-> | ( S ( NP-SBJ ( PRP He ) ) ( VP ( VBD said ) ( SBAR ( S ( NP-SBJ ( PRP it ) ) ( VP ( VBZ has ) ( VP ( VP ( VBN reached ) ( NP ( NP ( DT the ) ( JJ same ) ( NNS conclusions ) ) ( PP ( IN about ) ( NP ( DT some ) ( NNS attempts ) ( S ( VP ( TO to ) ( VP ( VB buy ) ( ADJP ( RB closely ) ( VBN held ) ) ( NNS concerns ) ) ) ) ) ) ) ) ( CC but ) ( VP ( ADVP-TMP ( RB eventually ) ) ( VBD allowed ) ( S ( NP-SBJ ( DT those ) ( NNS acquisitions ) ) ( VP ( TO to ) ( VP ( VB proceed ) ) ) ) ) ) ) ) ) ) ) |
cp1447 | CP_re_ptb_862 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
While some in the U.S. contend that advertising is the bane of television here many believe that its absence is to blame for the European TV industry 's sluggish development
-> | ( S ( SBAR-ADV ( IN While ) ( S ( NP-SBJ ( NP ( DT some ) ) ( PP-LOC ( IN in ) ( NP ( DT the ) ( NNP U.S. ) ) ) ) ( VP ( VBP contend ) ( SBAR ( DT that ) ( S ( NP-SBJ ( NN advertising ) ) ( VP ( VBZ is ) ( NP-PRD ( NP ( DT the ) ( NN bane ) ) ( PP ( IN of ) ( NP ( NN television ) ) ) ) ) ) ) ) ) ) ( ADVP-LOC ( RB here ) ) ( NP-SBJ ( JJ many ) ) ( VP ( VBP believe ) ( SBAR ( DT that ) ( S ( NP-SBJ-1 ( PRP$ its ) ( NN absence ) ) ( VP ( VBZ is ) ( S-PRD ( VP ( TO to ) ( VP ( VB blame ) ( PP-CLR ( IN for ) ( NP ( NP ( DT the ) ( JJ European ) ( NN TV ) ( NN industry ) ( POS 's ) ) ( JJ sluggish ) ( NN development ) ) ) ) ) ) ) ) ) ) ) |
cp1290 | CP_re_ptb_837 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Mr. Burt nonetheless paid the penalty as if he had lost agreeing to spend a day with West German Foreign Minister Hans-Dietrich Genscher frying and selling their combined weight in potato pancakes
-> | ( S ( NP-SBJ-1 ( NNP Mr. ) ( NNP Burt ) ) ( ADVP ( RB nonetheless ) ) ( VP ( VBD paid ) ( NP ( DT the ) ( NN penalty ) ) ( SBAR-ADV ( IN as ) ( IN if ) ( S ( NP-SBJ ( PRP he ) ) ( VP ( VBD had ) ( VP ( VBN lost ) ) ) ) ) ( S-ADV ( VP ( VBG agreeing ) ( S ( VP ( TO to ) ( VP ( VB spend ) ( NP ( DT a ) ( NN day ) ) ( PP ( IN with ) ( NP ( NNP West ) ( NNP German ) ( NNP Foreign ) ( NNP Minister ) ( NNP Hans-Dietrich ) ( NNP Genscher ) ) ) ( S ( VP ( VBG frying ) ( CC and ) ( VBG selling ) ( NP ( NP ( PRP$ their ) ( JJ combined ) ( NN weight ) ) ( PP ( IN in ) ( NP ( NN potato ) ( NNS pancakes ) ) ) ) ) ) ) ) ) ) ) ) ) |
cp43 | CP_re_ptb_1976 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
When the little guy gets frightened the big guys hurt badly
-> | ( S ( SBAR-TMP ( WHADVP-1 ( WRB When ) ) ( S ( NP-SBJ ( DT the ) ( JJ little ) ( NN guy ) ) ( VP ( VBZ gets ) ( ADJP-PRD ( JJ frightened ) ) ) ) ) ( NP-SBJ ( DT the ) ( JJ big ) ( NNS guys ) ) ( VP ( VBP hurt ) ( ADVP-MNR ( RB badly ) ) ) ) |
cp393 | CP_re_ptb_439 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
What 's more the corporate borrowing binge has n't abated in the past two years
-> | ( S ( SBAR-ADV ( WHNP-1 ( WP What ) ) ( S ( VP ( VBZ 's ) ( NP-PRD ( JJR more ) ) ) ) ) ( NP-SBJ ( DT the ) ( JJ corporate ) ( NN borrowing ) ( NN binge ) ) ( VP ( VBZ has ) ( RB n't ) ( VP ( VBN abated ) ( PP-TMP ( IN in ) ( NP ( DT the ) ( JJ past ) ( CD two ) ( NNS years ) ) ) ) ) ) |
cp757 | CP_re_ptb_1011 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Little Lily as Ms. Cunningham calls herself in the book really was n't ordinary
-> | ( S ( NP-SBJ ( NP ( NNP Little ) ( NNP Lily ) ) ( SBAR ( IN as ) ( S ( NP-SBJ ( NNP Ms. ) ( NNP Cunningham ) ) ( VP ( VBZ calls ) ( S ( NP-SBJ ( PRP herself ) ) ) ( PP-LOC ( IN in ) ( NP ( DT the ) ( NN book ) ) ) ) ) ) ) ( ADVP ( RB really ) ) ( VP ( VBD was ) ( RB n't ) ( ADJP-PRD ( JJ ordinary ) ) ) ) |
cp1962 | CP_re_ptb_843 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Another Jeux Sans Frontieres where villagers from assorted European countries make fools of themselves performing pointless tasks is a hit in France
-> | ( S ( NP-SBJ ( NP ( DT Another ) ) ( NP-TTL ( FW Jeux ) ( FW Sans ) ( FW Frontieres ) ) ( SBAR ( WHADVP-2 ( WRB where ) ) ( S ( NP-SBJ-1 ( NP ( NNS villagers ) ) ( PP ( IN from ) ( NP ( JJ assorted ) ( JJ European ) ( NNS countries ) ) ) ) ( VP ( VBP make ) ( NP ( NNS fools ) ) ( PP-CLR ( IN of ) ( NP ( PRP themselves ) ) ) ( S-ADV ( VP ( VBG performing ) ( NP ( JJ pointless ) ( NNS tasks ) ) ) ) ) ) ) ) ( VP ( VBZ is ) ( NP-PRD ( DT a ) ( NN hit ) ) ( PP-LOC ( IN in ) ( NP ( NNP France ) ) ) ) ) |
cp79 | CP_re_ptb_1407 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
7 %
-> | ( NP ( CD 7 ) ( NN % ) ) |
cp841 | CP_re_ptb_127 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Many have raised cash levels which act as a buffer against steep market declines
-> | ( S ( NP-SBJ ( JJ Many ) ) ( VP ( VBP have ) ( VP ( VBN raised ) ( NP ( NP ( NN cash ) ( NNS levels ) ) ( SBAR ( WHNP-1 ( WDT which ) ) ( S ( VP ( VBP act ) ( PP-CLR ( IN as ) ( NP ( DT a ) ( NN buffer ) ) ) ( PP ( IN against ) ( NP ( JJ steep ) ( NN market ) ( NNS declines ) ) ) ) ) ) ) ) ) ) |
cp1992 | CP_re_ptb_359 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Under the agreement HOFI will own 87.2 % of the combined company
-> | ( S ( PP-LOC ( IN Under ) ( NP ( DT the ) ( NN agreement ) ) ) ( NP-SBJ ( NNP HOFI ) ) ( VP ( MD will ) ( VP ( VB own ) ( NP ( NP ( CD 87.2 ) ( NN % ) ) ( PP ( IN of ) ( NP ( DT the ) ( JJ combined ) ( NN company ) ) ) ) ) ) ) |
cp174 | CP_re_ptb_1295 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
So it 's a very mixed bag
-> | ( S ( IN So ) ( NP-SBJ ( PRP it ) ) ( VP ( VBZ 's ) ( NP-PRD ( DT a ) ( ADJP ( RB very ) ( JJ mixed ) ) ( NN bag ) ) ) ) |
cp1446 | CP_re_ptb_2202 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
In theory at least tight supplies next spring could leave the wheat futures market susceptible to a supply-demand squeeze said Daniel Basse a futures analyst with AgResource Co. in Chicago
-> | ( SINV ( S-TPC-1 ( PP ( IN In ) ( NP ( NN theory ) ) ( ADVP ( IN at ) ( JJS least ) ) ) ( NP-SBJ ( NP ( JJ tight ) ( NNS supplies ) ) ( NP-TMP ( JJ next ) ( NN spring ) ) ) ( VP ( MD could ) ( VP ( VB leave ) ( S ( NP-SBJ ( DT the ) ( NN wheat ) ( NNS futures ) ( NN market ) ) ( ADJP-PRD ( JJ susceptible ) ( PP ( TO to ) ( NP ( DT a ) ( JJ supply-demand ) ( NN squeeze ) ) ) ) ) ) ) ) ( VP ( VBD said ) ) ( NP-SBJ ( NP ( NNP Daniel ) ( NNP Basse ) ) ( NP ( NP ( DT a ) ( NNS futures ) ( NN analyst ) ) ( PP ( IN with ) ( NP ( NP ( NNP AgResource ) ( NNP Co. ) ) ( PP-LOC ( IN in ) ( NP ( NNP Chicago ) ) ) ) ) ) ) ) |
cp1796 | CP_re_ptb_428 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
A modest drop in the dollar only a modest one mind you would be welcomed by the U.S.
-> | ( S ( NP-SBJ-1 ( NP ( DT A ) ( JJ modest ) ( NN drop ) ) ( PP-LOC ( IN in ) ( NP ( DT the ) ( NN dollar ) ) ) ( PRN ( S ( FRAG ( NP ( RB only ) ( DT a ) ( JJ modest ) ( CD one ) ) ) ( VP ( VB mind ) ( NP ( PRP you ) ) ) ) ) ) ( VP ( MD would ) ( VP ( VB be ) ( VP ( VBN welcomed ) ( PP ( IN by ) ( NP-LGS ( DT the ) ( NNP U.S. ) ) ) ) ) ) ) |
cp2255 | CP_re_ptb_1576 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Interprovincial transports about 75 % of all crude produced in western Canada and almost 60 % of Interprovincial 's total volume consists of light crude
-> | ( S ( S ( NP-SBJ ( NNP Interprovincial ) ) ( VP ( VBZ transports ) ( NP ( NP ( QP ( RB about ) ( CD 75 ) ) ( NN % ) ) ( PP ( IN of ) ( NP ( NP ( DT all ) ( NN crude ) ) ( VP ( VBN produced ) ( PP-LOC ( IN in ) ( NP ( JJ western ) ( NNP Canada ) ) ) ) ) ) ) ) ) ( CC and ) ( S ( NP-SBJ ( NP ( QP ( RB almost ) ( CD 60 ) ) ( NN % ) ) ( PP ( IN of ) ( NP ( NP ( NNP Interprovincial ) ( POS 's ) ) ( JJ total ) ( NN volume ) ) ) ) ( VP ( VBZ consists ) ( PP-CLR ( IN of ) ( NP ( JJ light ) ( NN crude ) ) ) ) ) ) |
cp2207 | CP_re_ptb_226 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
In addition he said some bigger institutional investors placed bids to buy some OTC stocks whose prices were beaten down
-> | ( S-2 ( PP ( IN In ) ( NP ( NN addition ) ) ) ( PRN ( S ( NP-SBJ ( PRP he ) ) ( VP ( VBD said ) ) ) ) ( NP-SBJ ( DT some ) ( JJR bigger ) ( JJ institutional ) ( NNS investors ) ) ( VP ( VBD placed ) ( NP ( NNS bids ) ( S ( VP ( TO to ) ( VP ( VB buy ) ( NP ( NP ( DT some ) ( NNP OTC ) ( NNS stocks ) ) ( SBAR ( WHNP-1 ( WP$ whose ) ( NNS prices ) ) ( S ( VP ( VBD were ) ( VP ( VBN beaten ) ( PRT ( RP down ) ) ) ) ) ) ) ) ) ) ) ) ) |
cp1039 | CP_re_ptb_199 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Two years ago faced with the possibility of heavy losses on the stocks in their inventories market makers themselves began dumping shares exacerbating the slide in OTC stock prices
-> | ( S ( ADVP-TMP ( NP ( CD Two ) ( NNS years ) ) ( RB ago ) ) ( S-ADV ( VP ( VBN faced ) ( PP-CLR ( IN with ) ( NP ( NP ( DT the ) ( NN possibility ) ) ( PP ( IN of ) ( NP ( NP ( JJ heavy ) ( NNS losses ) ) ( PP ( IN on ) ( NP ( NP ( DT the ) ( NNS stocks ) ) ( PP-LOC ( IN in ) ( NP ( PRP$ their ) ( NNS inventories ) ) ) ) ) ) ) ) ) ) ) ( NP-SBJ-2 ( NP ( NN market ) ( NNS makers ) ) ( NP ( PRP themselves ) ) ) ( VP ( VBD began ) ( S ( VP ( VBG dumping ) ( NP ( NNS shares ) ) ) ) ( S-ADV ( VP ( VBG exacerbating ) ( NP ( NP ( DT the ) ( NN slide ) ) ( PP-LOC ( IN in ) ( NP ( NNP OTC ) ( NN stock ) ( NNS prices ) ) ) ) ) ) ) ) |
cp1551 | CP_re_ptb_2098 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Mr. Sweig estimated that Merck 's profit for the quarter rose by about 22 % propelled by sales of its line-up of fast-growing prescription drugs including its anti-cholesterol drug Mevacor a high blood pressure medicine Vasotec Primaxin an antibiotic and Pepcid an anti-ulcer medication
-> | ( S ( NP-SBJ ( NNP Mr. ) ( NNP Sweig ) ) ( VP ( VBD estimated ) ( SBAR ( IN that ) ( S ( NP-SBJ-1 ( NP ( NP ( NNP Merck ) ( POS 's ) ) ( NN profit ) ) ( PP ( IN for ) ( NP ( DT the ) ( NN quarter ) ) ) ) ( VP ( VBD rose ) ( PP-EXT ( IN by ) ( NP ( QP ( RB about ) ( CD 22 ) ) ( NN % ) ) ) ( S-ADV ( VP ( VBN propelled ) ( PP ( IN by ) ( NP-LGS ( NP ( NNS sales ) ) ( PP ( IN of ) ( NP ( NP ( PRP$ its ) ( NN line-up ) ) ( PP ( IN of ) ( NP ( NP ( JJ fast-growing ) ( NN prescription ) ( NNS drugs ) ) ( PP ( VBG including ) ( NP ( NP ( NP ( PRP$ its ) ( JJ anti-cholesterol ) ( NN drug ) ) ( NP ( NNP Mevacor ) ) ) ( NP ( NP ( DT a ) ( JJ high ) ( NN blood ) ( NN pressure ) ( NN medicine ) ) ( NP ( NNP Vasotec ) ) ) ( NP ( NP ( NNP Primaxin ) ) ( NP ( DT an ) ( NN antibiotic ) ) ) ( CC and ) ( NP ( NP ( NNP Pepcid ) ) ( NP ( DT an ) ( JJ anti-ulcer ) ( NN medication ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) |
cp357 | CP_re_ptb_1338 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
If we get rid of a lot of that nonsense it will be a big plus
-> | ( S ( SBAR-ADV ( IN If ) ( S ( NP-SBJ ( PRP we ) ) ( VP ( VBP get ) ( ADJP-PRD ( JJ rid ) ( PP ( IN of ) ( NP ( NP ( DT a ) ( NN lot ) ) ( PP ( IN of ) ( NP ( DT that ) ( NN nonsense ) ) ) ) ) ) ) ) ) ( NP-SBJ ( PRP it ) ) ( VP ( MD will ) ( VP ( VB be ) ( NP-PRD ( DT a ) ( JJ big ) ( NN plus ) ) ) ) ) |
cp1974 | CP_re_ptb_1512 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
The gap between winners and laggards will grow
-> | ( S ( NP-SBJ ( NP ( DT The ) ( NN gap ) ) ( PP ( IN between ) ( NP ( NNS winners ) ( CC and ) ( NNS laggards ) ) ) ) ( VP ( MD will ) ( VP ( VB grow ) ) ) ) |
cp1433 | CP_re_ptb_350 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
To be sure Kao would n't have an easy time taking U.S. market share away from the mighty P&G which has about 23 % of the market
-> | ( S ( S-ADV ( VP ( TO To ) ( VP ( VB be ) ( ADJP-PRD ( JJ sure ) ) ) ) ) ( NP-SBJ ( NNP Kao ) ) ( VP ( MD would ) ( RB n't ) ( VP ( VB have ) ( NP ( NP ( DT an ) ( JJ easy ) ( NN time ) ) ( S-NOM ( VP ( VBG taking ) ( NP ( NNP U.S. ) ( NN market ) ( NN share ) ) ( ADVP-DIR ( RB away ) ( PP ( IN from ) ( NP ( NP ( DT the ) ( JJ mighty ) ( NNP P&G ) ) ( SBAR ( WHNP-2 ( WDT which ) ) ( S ( VP ( VBZ has ) ( NP ( NP ( QP ( RB about ) ( CD 23 ) ) ( NN % ) ) ( PP ( IN of ) ( NP ( DT the ) ( NN market ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) |
cp34 | CP_re_ptb_586 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
But despite the recent softening for many of these retailers there 's still been too big a jump from the rental rates of the late 1970s when their leases were signed
-> | ( S ( CC But ) ( PP ( IN despite ) ( NP ( DT the ) ( JJ recent ) ( NN softening ) ) ) ( PP ( IN for ) ( NP ( NP ( DT many ) ) ( PP ( IN of ) ( NP ( DT these ) ( NNS retailers ) ) ) ) ) ( NP-SBJ ( EX there ) ) ( VP ( VBZ 's ) ( ADVP-TMP ( RB still ) ) ( VP ( VBN been ) ( NP-PRD ( NP ( ADJP ( RB too ) ( JJ big ) ) ( DT a ) ( NN jump ) ) ( PP ( IN from ) ( NP ( NP ( DT the ) ( JJ rental ) ( NNS rates ) ) ( PP ( IN of ) ( NP ( NP ( DT the ) ( JJ late ) ( NNS 1970s ) ) ( SBAR ( WHADVP-2 ( WRB when ) ) ( S ( NP-SBJ-1 ( PRP$ their ) ( NNS leases ) ) ( VP ( VBD were ) ( VP ( VBN signed ) ) ) ) ) ) ) ) ) ) ) ) ) |
cp1900 | CP_re_ptb_2127 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Also the company 's hair-growing drug Rogaine is selling well at about 125 million for the year but the company 's profit from the drug has been reduced by Upjohn 's expensive print and television campaigns for advertising analysts said
-> | ( S ( S-TPC-2 ( ADVP ( RB Also ) ) ( S ( NP-SBJ ( NP ( NP ( DT the ) ( NN company ) ( POS 's ) ) ( JJ hair-growing ) ( NN drug ) ) ( NP ( NNP Rogaine ) ) ) ( VP ( VBZ is ) ( VP ( VBG selling ) ( ADVP-MNR ( RB well ) ) ( PP ( IN at ) ( NP ( NP ( QP ( RB about ) ( CD 125 ) ( CD million ) ) ) ( PP ( IN for ) ( NP ( DT the ) ( NN year ) ) ) ) ) ) ) ) ( CC but ) ( S ( NP-SBJ-1 ( NP ( NP ( DT the ) ( NN company ) ( POS 's ) ) ( NN profit ) ) ( PP ( IN from ) ( NP ( DT the ) ( NN drug ) ) ) ) ( VP ( VBZ has ) ( VP ( VBN been ) ( VP ( VBN reduced ) ( PP ( IN by ) ( NP-LGS ( NP ( NP ( NNP Upjohn ) ( POS 's ) ) ( JJ expensive ) ( NN print ) ( CC and ) ( NN television ) ( NNS campaigns ) ) ( PP ( IN for ) ( NP ( VBG advertising ) ) ) ) ) ) ) ) ) ) ( NP-SBJ ( NNS analysts ) ) ( VP ( VBD said ) ) ) |
cp946 | CP_re_ptb_583 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
It is also no comfort to landlords and small New York retailers when the future of larger department stores which anchor retail neighborhoods are in doubt
-> | ( S ( NP-SBJ ( NP ( PRP It ) ) ) ( VP ( VBZ is ) ( ADVP ( RB also ) ) ( NP-PRD ( NP ( DT no ) ( NN comfort ) ) ( PP ( TO to ) ( NP ( NP ( NNS landlords ) ) ( CC and ) ( NP ( JJ small ) ( NNP New ) ( NNP York ) ( NNS retailers ) ) ) ) ) ( SBAR-2 ( WHADVP-3 ( WRB when ) ) ( S ( NP-SBJ ( NP ( DT the ) ( NN future ) ) ( PP ( IN of ) ( NP ( NP ( JJR larger ) ( NN department ) ( NNS stores ) ) ( SBAR ( WHNP-1 ( WDT which ) ) ( S ( VP ( VBP anchor ) ( NP ( JJ retail ) ( NNS neighborhoods ) ) ) ) ) ) ) ) ( VP ( VBP are ) ( PP-LOC-PRD ( IN in ) ( NP ( NN doubt ) ) ) ) ) ) ) ) |
cp926 | CP_re_ptb_1583 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Mr. Lichtblau stressed that the delay of Interprovincial 's proposed expansion wo n't by itself increase U.S. dependence on offshore crude however since Canadian imports are limited in any case by Canada 's falling output
-> | ( S ( NP-SBJ ( NNP Mr. ) ( NNP Lichtblau ) ) ( VP ( VBD stressed ) ( SBAR ( IN that ) ( S ( NP-SBJ ( NP ( DT the ) ( NN delay ) ) ( PP ( IN of ) ( NP ( NP ( NNP Interprovincial ) ( POS 's ) ) ( VBN proposed ) ( NN expansion ) ) ) ) ( VP ( MD wo ) ( RB n't ) ( PP ( IN by ) ( NP ( PRP itself ) ) ) ( VP ( VB increase ) ( NP ( NP ( NNP U.S. ) ( NN dependence ) ) ( PP ( IN on ) ( NP ( JJ offshore ) ( NN crude ) ) ) ) ( ADVP ( RB however ) ) ( SBAR-PRP ( IN since ) ( S ( NP-SBJ-1 ( JJ Canadian ) ( NNS imports ) ) ( VP ( VBP are ) ( VP ( VBN limited ) ( PP-LOC ( IN in ) ( NP ( DT any ) ( NN case ) ) ) ( PP ( IN by ) ( NP-LGS ( NP ( NNP Canada ) ( POS 's ) ) ( VBG falling ) ( NN output ) ) ) ) ) ) ) ) ) ) ) ) ) |
cp1819 | CP_re_ptb_2076 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Third-quarter profit estimates for several companies are being strongly affected by the price of newsprint which in the last two years has had several price increases
-> | ( S ( NP-SBJ-1 ( NP ( JJ Third-quarter ) ( NN profit ) ( NNS estimates ) ) ( PP ( IN for ) ( NP ( JJ several ) ( NNS companies ) ) ) ) ( VP ( VBP are ) ( VP ( VBG being ) ( VP ( ADVP-MNR ( RB strongly ) ) ( VBN affected ) ( PP ( IN by ) ( NP-LGS ( NP ( DT the ) ( NN price ) ) ( PP ( IN of ) ( NP ( NP ( NN newsprint ) ) ( SBAR ( WHNP-2 ( WDT which ) ) ( S ( PP-TMP ( IN in ) ( NP ( DT the ) ( JJ last ) ( CD two ) ( NNS years ) ) ) ( VP ( VBZ has ) ( VP ( VBD had ) ( NP ( JJ several ) ( NN price ) ( NNS increases ) ) ) ) ) ) ) ) ) ) ) ) ) ) |
cp1608 | CP_re_ptb_1212 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Mr. Paul said only about 150 million of the current holdings are tradeable securities registered with the Securities and Exchange Commission
-> | ( S ( NP-SBJ ( NNP Mr. ) ( NNP Paul ) ) ( VP ( VBD said ) ( SBAR ( S ( NP-SBJ ( NP ( QP ( RB only ) ( RB about ) ( CD 150 ) ( CD million ) ) ) ( PP ( IN of ) ( NP ( DT the ) ( JJ current ) ( NNS holdings ) ) ) ) ( VP ( VBP are ) ( NP-PRD ( NP ( JJ tradeable ) ( NNS securities ) ) ( VP ( VBN registered ) ( PP-CLR ( IN with ) ( NP ( DT the ) ( NNP Securities ) ( CC and ) ( NNP Exchange ) ( NNP Commission ) ) ) ) ) ) ) ) ) ) |
cp1569 | CP_re_ptb_538 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
The Justice Department announced that the FBI has been given the authority to seize U.S. fugitives overseas without the permission of foreign governments
-> | ( S ( NP-SBJ ( DT The ) ( NNP Justice ) ( NNP Department ) ) ( VP ( VBD announced ) ( SBAR ( IN that ) ( S ( NP-SBJ-2 ( DT the ) ( NNP FBI ) ) ( VP ( VBZ has ) ( VP ( VBN been ) ( VP ( VBN given ) ( NP ( DT the ) ( NN authority ) ( S ( VP ( TO to ) ( VP ( VB seize ) ( NP ( NNP U.S. ) ( NNS fugitives ) ) ( ADVP-LOC ( RB overseas ) ) ( PP ( IN without ) ( NP ( NP ( DT the ) ( NN permission ) ) ( PP ( IN of ) ( NP ( JJ foreign ) ( NNS governments ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) |
cp284 | CP_re_ptb_114 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Unlike the weekend before Black Monday the funds were n't swamped with heavy withdrawal requests
-> | ( S ( PP ( IN Unlike ) ( NP ( NP ( DT the ) ( NN weekend ) ) ( PP-TMP ( IN before ) ( NP ( NNP Black ) ( NNP Monday ) ) ) ) ) ( NP-SBJ-1 ( DT the ) ( NNS funds ) ) ( VP ( VBD were ) ( RB n't ) ( VP ( VBN swamped ) ( PP-CLR ( IN with ) ( NP ( JJ heavy ) ( NN withdrawal ) ( NNS requests ) ) ) ) ) ) |
cp103 | CP_re_ptb_345 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
When shelf space was cheap bigger was better says Hugh Zurkuhlen an analyst at Salomon Bros
-> | ( SINV ( S-TPC ( SBAR-TMP ( WHADVP-1 ( WRB When ) ) ( S ( NP-SBJ ( NN shelf ) ( NN space ) ) ( VP ( VBD was ) ( ADJP-PRD ( JJ cheap ) ) ) ) ) ( NP-SBJ ( JJR bigger ) ) ( VP ( VBD was ) ( ADJP-PRD ( JJR better ) ) ) ) ( VP ( VBZ says ) ) ( NP-SBJ ( NP ( NNP Hugh ) ( NNP Zurkuhlen ) ) ( NP ( NP ( DT an ) ( NN analyst ) ) ( PP-LOC ( IN at ) ( NP ( NNP Salomon ) ( NNP Bros ) ) ) ) ) ) |
cp310 | CP_re_ptb_1134 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Two-thirds of respondents said they strongly felt the need to be successful in their jobs while fewer than half said they strongly felt the need to spend more time with their families
-> | ( S ( NP-SBJ ( NP ( NNS Two-thirds ) ) ( PP ( IN of ) ( NP ( NNS respondents ) ) ) ) ( VP ( VBD said ) ( SBAR ( S ( NP-SBJ ( PRP they ) ) ( VP ( ADVP-MNR ( RB strongly ) ) ( VBD felt ) ( NP-PRD ( DT the ) ( NN need ) ( S ( VP ( TO to ) ( VP ( VB be ) ( ADJP-PRD ( JJ successful ) ( PP ( IN in ) ( NP ( PRP$ their ) ( NNS jobs ) ) ) ) ) ) ) ) ) ) ) ( SBAR-ADV ( IN while ) ( S ( NP-SBJ ( QP ( JJR fewer ) ( IN than ) ( NN half ) ) ) ( VP ( VBD said ) ( SBAR ( S ( NP-SBJ ( PRP they ) ) ( VP ( ADVP-MNR ( RB strongly ) ) ( VBD felt ) ( NP-PRD ( DT the ) ( NN need ) ( S ( VP ( TO to ) ( VP ( VB spend ) ( NP ( JJR more ) ( NN time ) ) ( PP ( IN with ) ( NP ( PRP$ their ) ( NNS families ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) |
cp1489 | CP_re_ptb_48 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Then a second explosion occurred
-> | ( S ( RB Then ) ( NP-SBJ ( DT a ) ( JJ second ) ( NN explosion ) ) ( VP ( VBD occurred ) ) ) |
cp2 | CP_re_ptb_1990 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
I just stopped by to see how much I would have lost
-> | ( S ( NP-SBJ-1 ( PRP I ) ) ( ADVP ( RB just ) ) ( VP ( VBD stopped ) ( PP-CLR ( RP by ) ) ( S-PRP ( VP ( TO to ) ( VP ( VB see ) ( SBAR ( WHADVP-2 ( WRB how ) ( JJ much ) ) ( S ( NP-SBJ ( PRP I ) ) ( VP ( MD would ) ( VP ( VB have ) ( VP ( VBN lost ) ) ) ) ) ) ) ) ) ) ) |
cp1931 | CP_re_ptb_753 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Pratt & Whitney is a unit of United Technologies Inc
-> | ( S ( NP-SBJ ( NNP Pratt ) ( CC & ) ( NNP Whitney ) ) ( VP ( VBZ is ) ( NP-PRD ( NP ( DT a ) ( NN unit ) ) ( PP ( IN of ) ( NP ( NNP United ) ( NNP Technologies ) ( NNP Inc ) ) ) ) ) ) |
cp288 | CP_re_ptb_1213 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
The remainder he said are commercial loan participations or private placements that are n't filed with the SEC and do n't have a ready market
-> | ( S-1 ( NP-SBJ ( DT The ) ( NN remainder ) ) ( PRN ( S ( NP-SBJ ( PRP he ) ) ( VP ( VBD said ) ) ) ) ( VP ( VBP are ) ( NP-PRD ( NP ( NP ( JJ commercial ) ( NN loan ) ( NNS participations ) ) ( CC or ) ( NP ( JJ private ) ( NNS placements ) ) ) ( SBAR-2 ( WHNP-3 ( WDT that ) ) ( S ( VP ( VP ( VBP are ) ( RB n't ) ( VP ( VBN filed ) ( PP-CLR ( IN with ) ( NP ( DT the ) ( NNP SEC ) ) ) ) ) ( CC and ) ( VP ( VBP do ) ( RB n't ) ( VP ( VB have ) ( NP ( DT a ) ( JJ ready ) ( NN market ) ) ) ) ) ) ) ) ) ) |
cp1691 | CP_re_ptb_1692 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Size and weight considerations also have limited screen displays
-> | ( S ( NP-SBJ ( NN Size ) ( CC and ) ( NN weight ) ( NNS considerations ) ) ( ADVP ( RB also ) ) ( VP ( VBP have ) ( VP ( VBN limited ) ( NP ( NN screen ) ( NNS displays ) ) ) ) ) |
cp807 | CP_re_ptb_1077 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Just a month ago GM announced it would make an aging assembly plant in Lakewood Ga. the eighth U.S. assembly facility to close since 1987
-> | ( S ( ADVP-TMP ( NP ( QP ( RB Just ) ( DT a ) ) ( NN month ) ) ( RB ago ) ) ( NP-SBJ ( NNP GM ) ) ( VP ( VBD announced ) ( SBAR ( S ( NP-SBJ ( PRP it ) ) ( VP ( MD would ) ( VP ( VB make ) ( S ( NP-SBJ ( NP ( DT an ) ( VBG aging ) ( NN assembly ) ( NN plant ) ) ( PP-LOC ( IN in ) ( NP ( NP ( NNP Lakewood ) ) ( NP ( NNP Ga. ) ) ) ) ) ( NP-PRD ( NP ( DT the ) ( JJ eighth ) ( NNP U.S. ) ( NN assembly ) ( NN facility ) ) ( SBAR ( S ( VP ( TO to ) ( VP ( VB close ) ) ) ) ) ( PP-TMP ( IN since ) ( NP ( CD 1987 ) ) ) ) ) ) ) ) ) ) ) |
cp420 | CP_re_ptb_1500 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
The program is aimed at improving the quality of printed material
-> | ( S ( NP-SBJ-1 ( DT The ) ( NN program ) ) ( VP ( VBZ is ) ( VP ( VBN aimed ) ( PP-CLR ( IN at ) ( S-NOM ( VP ( VBG improving ) ( NP ( NP ( DT the ) ( NN quality ) ) ( PP ( IN of ) ( NP ( JJ printed ) ( NN material ) ) ) ) ) ) ) ) ) ) |
cp166 | CP_re_ptb_1445 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
MERRILL LYNCH READY ASSETS TRUST
-> | ( NP-HLN ( NNP MERRILL ) ( NNP LYNCH ) ( NNP READY ) ( NNP ASSETS ) ( NNP TRUST ) ) |
cp343 | CP_re_ptb_1154 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
There are 13.1 million students in college this fall up 2 % from 1988 the National Center for Education Statistics estimates
-> | ( S ( S-TPC-2 ( NP-SBJ ( EX There ) ) ( VP ( VBP are ) ( NP-PRD ( NP ( QP ( CD 13.1 ) ( CD million ) ) ( NNS students ) ) ( PP-LOC ( IN in ) ( NP ( NN college ) ) ) ) ( NP-TMP ( DT this ) ( NN fall ) ) ( ADVP-1 ( RB up ) ( NP ( CD 2 ) ( NN % ) ) ( PP ( IN from ) ( NP ( CD 1988 ) ) ) ) ) ) ( NP-SBJ ( NP ( DT the ) ( NNP National ) ( NNP Center ) ) ( PP ( IN for ) ( NP ( NNP Education ) ( NNP Statistics ) ) ) ) ( VP ( NNS estimates ) ) ) |
cp1108 | CP_re_ptb_1946 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
I 'm not losing faith in the market said Boston lawyer Christopher Sullivan as he watched the market plunge on a big screen in front of a brokerage firm
-> | ( SINV ( S-TPC-1 ( NP-SBJ ( PRP I ) ) ( VP ( VBP 'm ) ( RB not ) ( VP ( VBG losing ) ( NP ( NP ( NN faith ) ) ( PP ( IN in ) ( NP ( DT the ) ( NN market ) ) ) ) ) ) ) ( VP ( VBD said ) ) ( NP-SBJ ( NNP Boston ) ( NN lawyer ) ( NNP Christopher ) ( NNP Sullivan ) ) ( SBAR-TMP ( IN as ) ( S ( NP-SBJ ( PRP he ) ) ( VP ( VBD watched ) ( S ( NP-SBJ ( DT the ) ( NN market ) ) ( VP ( NN plunge ) ) ) ( PP-LOC ( IN on ) ( NP ( NP ( DT a ) ( JJ big ) ( NN screen ) ) ( PP-LOC ( IN in ) ( NP ( NP ( NN front ) ) ( PP ( IN of ) ( NP ( DT a ) ( NN brokerage ) ( NN firm ) ) ) ) ) ) ) ) ) ) ) |
cp1338 | CP_re_ptb_44 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
But others came away thinking he had given something less than his usual straight-from-the-shoulder performance
-> | ( S ( CC But ) ( NP-SBJ-1 ( NNS others ) ) ( VP ( VBD came ) ( ADVP-DIR ( RB away ) ) ( S-ADV ( VP ( VBG thinking ) ( SBAR ( S ( NP-SBJ ( PRP he ) ) ( VP ( VBD had ) ( VP ( VBN given ) ( NP ( NP ( NN something ) ) ( ADJP ( ADJP ( JJR less ) ) ( PP ( IN than ) ( NP ( PRP$ his ) ( JJ usual ) ( JJ straight-from-the-shoulder ) ( NN performance ) ) ) ) ) ) ) ) ) ) ) ) ) |
cp193 | CP_re_ptb_807 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
But the date tends to be a plus not a minus for stocks according to Yale Hirsch a collector of stock market lore
-> | ( S ( CC But ) ( NP-SBJ-1 ( DT the ) ( NN date ) ) ( VP ( VBZ tends ) ( S ( VP ( TO to ) ( VP ( VB be ) ( NP-PRD ( NP ( DT a ) ( NN plus ) ) ( RB not ) ( NP ( DT a ) ( NN minus ) ) ) ( PP ( IN for ) ( NP ( NNS stocks ) ) ) ) ) ) ( PP ( VBG according ) ( PP ( TO to ) ( NP ( NP ( NNP Yale ) ( NNP Hirsch ) ) ( NP ( NP ( DT a ) ( NN collector ) ) ( PP ( IN of ) ( NP ( NN stock ) ( NN market ) ( NN lore ) ) ) ) ) ) ) ) ) |
cp1262 | CP_re_ptb_260 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
No one can predict exactly what will happen on the House side said Senate Minority Leader Robert Dole R. Kan
-> | ( SINV ( S-TPC-2 ( NP-SBJ ( DT No ) ( NN one ) ) ( VP ( MD can ) ( VP ( VB predict ) ( SBAR ( WHNP-1 ( RB exactly ) ( WP what ) ) ( S ( VP ( MD will ) ( VP ( VB happen ) ( PP-LOC ( IN on ) ( NP ( DT the ) ( NNP House ) ( NN side ) ) ) ) ) ) ) ) ) ) ( VP ( VBD said ) ) ( NP-SBJ ( NP ( NNP Senate ) ( NNP Minority ) ( NNP Leader ) ( NNP Robert ) ( NNP Dole ) ) ( PRN ( NP ( NNP R. ) ) ( NP-LOC ( NNP Kan ) ) ) ) ) |
cp634 | CP_re_ptb_1894 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
But for all its success CNN has hit a plateau
-> | ( S ( CC But ) ( PP ( IN for ) ( NP ( PDT all ) ( PRP$ its ) ( NN success ) ) ) ( NP-SBJ ( NNP CNN ) ) ( VP ( VBZ has ) ( VP ( VBN hit ) ( NP ( DT a ) ( NN plateau ) ) ) ) ) |
cp1871 | CP_re_ptb_1679 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Atari Corp. 's Portfolio introduced in Europe two months ago and in the U.S. in early September weighs less than a pound costs a mere 400 and runs on three AA batteries yet has the power to run some spreadsheets and word processing programs
-> | ( S ( NP-SBJ-1 ( NP ( NNP Atari ) ( NNP Corp. ) ( POS 's ) ) ( NNP Portfolio ) ) ( S-ADV ( VP ( VP ( VBN introduced ) ( PP-LOC-3 ( IN in ) ( NP ( NNP Europe ) ) ) ( ADVP-TMP-4 ( NP ( CD two ) ( NNS months ) ) ( RB ago ) ) ) ( CC and ) ( VP ( PP-LOC=3 ( IN in ) ( NP ( DT the ) ( NNP U.S. ) ) ) ( PP-TMP=4 ( IN in ) ( NP ( JJ early ) ( NNP September ) ) ) ) ) ) ( VP ( VP ( VBZ weighs ) ( NP ( QP ( RBR less ) ( IN than ) ( DT a ) ) ( NN pound ) ) ) ( VP ( VBZ costs ) ( NP ( DT a ) ( JJ mere ) ( CD 400 ) ) ) ( CC and ) ( VP ( VBZ runs ) ( PP-CLR ( IN on ) ( NP ( CD three ) ( NN AA ) ( NNS batteries ) ) ) ) ( CC yet ) ( VP ( VBZ has ) ( NP ( DT the ) ( NN power ) ( S ( VP ( TO to ) ( VP ( VB run ) ( NP ( DT some ) ( NX ( NX ( NNS spreadsheets ) ) ( CC and ) ( NX ( NN word ) ( NN processing ) ( NNS programs ) ) ) ) ) ) ) ) ) ) ) |
cp1821 | CP_re_ptb_1876 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
This is n't a change in government policy this provision has been used before said Jodi Redmond press secretary for Harvie Andre Canada 's minister of industry science and technology
-> | ( SINV ( S-TPC-2 ( S ( NP-SBJ ( DT This ) ) ( VP ( VBZ is ) ( RB n't ) ( NP-PRD ( NP ( DT a ) ( NN change ) ) ( PP-LOC ( IN in ) ( NP ( NN government ) ( NN policy ) ) ) ) ) ) ( S ( NP-SBJ-1 ( DT this ) ( NN provision ) ) ( VP ( VBZ has ) ( VP ( VBN been ) ( VP ( VBN used ) ( ADVP-TMP ( RB before ) ) ) ) ) ) ) ( VP ( VBD said ) ) ( NP-SBJ ( NP ( NNP Jodi ) ( NNP Redmond ) ) ( NP ( NP ( NN press ) ( NN secretary ) ) ( PP ( IN for ) ( NP ( NP ( NNP Harvie ) ( NNP Andre ) ) ( NP ( NP ( NP ( NNP Canada ) ( POS 's ) ) ( NN minister ) ) ( PP ( IN of ) ( NP ( NN industry ) ( NN science ) ( CC and ) ( NN technology ) ) ) ) ) ) ) ) ) |
cp2329 | CP_re_ptb_822 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
On a recent Saturday night in the midst of West Germany 's most popular prime-time show a contestant bet the host that she could name any of 100 different cheeses after just one nibble while blindfolded
-> | ( S ( PP-TMP ( IN On ) ( NP ( DT a ) ( JJ recent ) ( NNP Saturday ) ( NN night ) ) ) ( PP-LOC ( IN in ) ( NP ( NP ( DT the ) ( NN midst ) ) ( PP ( IN of ) ( NP ( NP ( NNP West ) ( NNP Germany ) ( POS 's ) ) ( ADJP ( JJS most ) ( JJ popular ) ) ( NN prime-time ) ( NN show ) ) ) ) ) ( NP-SBJ ( DT a ) ( NN contestant ) ) ( VP ( VBD bet ) ( NP ( DT the ) ( NN host ) ) ( SBAR ( IN that ) ( S ( NP-SBJ-2 ( PRP she ) ) ( VP ( MD could ) ( VP ( VB name ) ( NP ( NP ( DT any ) ) ( PP ( IN of ) ( NP ( CD 100 ) ( JJ different ) ( NNS cheeses ) ) ) ) ( PP-TMP ( IN after ) ( NP ( RB just ) ( CD one ) ( NN nibble ) ) ) ( SBAR-TMP ( IN while ) ( S ( VP ( JJ blindfolded ) ) ) ) ) ) ) ) ) ) |
cp2332 | CP_re_ptb_1673 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
One analyst noting that most such machines are about two inches thick takes exception to the name
-> | ( S ( NP-SBJ-1 ( CD One ) ( NN analyst ) ) ( S-ADV ( VP ( VBG noting ) ( SBAR ( IN that ) ( S ( NP-SBJ ( JJS most ) ( JJ such ) ( NNS machines ) ) ( VP ( VBP are ) ( ADJP-PRD ( NP ( QP ( RB about ) ( CD two ) ) ( NNS inches ) ) ( JJ thick ) ) ) ) ) ) ) ( VP ( VBZ takes ) ( NP ( NN exception ) ) ( PP-CLR ( TO to ) ( NP ( DT the ) ( NN name ) ) ) ) ) |
cp938 | CP_re_ptb_335 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
When Attack hit the shelves in 1987 P&G 's share of the Japanese market fell to about 8 % from more than 20 %
-> | ( S ( SBAR-TMP ( WHADVP-1 ( WRB When ) ) ( S ( NP-SBJ ( NNP Attack ) ) ( VP ( VBD hit ) ( NP ( DT the ) ( NNS shelves ) ) ( PP-TMP ( IN in ) ( NP ( CD 1987 ) ) ) ) ) ) ( NP-SBJ ( NP ( NP ( NNP P&G ) ( POS 's ) ) ( NN share ) ) ( PP ( IN of ) ( NP ( DT the ) ( JJ Japanese ) ( NN market ) ) ) ) ( VP ( VBD fell ) ( PP-DIR ( TO to ) ( NP ( QP ( RB about ) ( CD 8 ) ) ( NN % ) ) ) ( PP-DIR ( IN from ) ( NP ( QP ( JJR more ) ( IN than ) ( CD 20 ) ) ( NN % ) ) ) ) ) |
cp1149 | CP_re_ptb_450 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Surveys suggested that consumer confidence was high before Friday
-> | ( S ( NP-SBJ ( NNS Surveys ) ) ( VP ( VBD suggested ) ( SBAR ( IN that ) ( S ( NP-SBJ ( NN consumer ) ( NN confidence ) ) ( VP ( VBD was ) ( ADJP-PRD ( JJ high ) ) ( PP-TMP ( IN before ) ( NP ( NNP Friday ) ) ) ) ) ) ) ) |
cp2296 | CP_re_ptb_2040 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
My unemployment insurance ran out before I found a job I found cutbacks and layoffs in many companies
-> | ( S ( S ( NP-SBJ ( PRP$ My ) ( NN unemployment ) ( NN insurance ) ) ( VP ( VBD ran ) ( PRT ( RP out ) ) ( SBAR-TMP ( IN before ) ( S ( NP-SBJ ( PRP I ) ) ( VP ( VBD found ) ( NP ( DT a ) ( NN job ) ) ) ) ) ) ) ( S ( NP-SBJ ( PRP I ) ) ( VP ( VBD found ) ( NP ( NNS cutbacks ) ( CC and ) ( NNS layoffs ) ) ( PP-LOC-CLR ( IN in ) ( NP ( JJ many ) ( NNS companies ) ) ) ) ) ) |
cp2084 | CP_re_ptb_1150 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
The share of minorities in those positions has risen to 16 % from 12 %
-> | ( S ( NP-SBJ ( NP ( DT The ) ( NN share ) ) ( PP ( IN of ) ( NP ( NNS minorities ) ) ) ( PP-LOC ( IN in ) ( NP ( DT those ) ( NNS positions ) ) ) ) ( VP ( VBZ has ) ( VP ( VBN risen ) ( PP-DIR ( TO to ) ( NP ( CD 16 ) ( NN % ) ) ) ( PP-DIR ( IN from ) ( NP ( CD 12 ) ( NN % ) ) ) ) ) ) |
cp1158 | CP_re_ptb_1137 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Average household income for the sample was 194,000 and average net assets were reported as 775,000
-> | ( S ( S ( NP-SBJ ( NP ( JJ Average ) ( NN household ) ( NN income ) ) ( PP ( IN for ) ( NP ( DT the ) ( NN sample ) ) ) ) ( VP ( VBD was ) ( NP-PRD ( CD 194,000 ) ) ) ) ( CC and ) ( S ( NP-SBJ-1 ( JJ average ) ( JJ net ) ( NNS assets ) ) ( VP ( VBD were ) ( VP ( VBN reported ) ( PP-CLR ( IN as ) ( NP ( CD 775,000 ) ) ) ) ) ) ) |
cp390 | CP_re_ptb_332 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
She said the company will study results from this market before expanding to others
-> | ( S ( NP-SBJ ( PRP She ) ) ( VP ( VBD said ) ( SBAR ( S ( NP-SBJ-1 ( DT the ) ( NN company ) ) ( VP ( MD will ) ( VP ( VB study ) ( NP ( NP ( NNS results ) ) ( PP ( IN from ) ( NP ( DT this ) ( NN market ) ) ) ) ( PP-TMP ( IN before ) ( S-NOM ( VP ( VBG expanding ) ( PP-DIR ( TO to ) ( NP ( NNS others ) ) ) ) ) ) ) ) ) ) ) ) |
cp2082 | CP_re_ptb_1562 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Information International Inc. said it was sued by a buyer of its computerized newspaper-publishing system alleging that the company failed to correct deficiencies in the system
-> | ( S ( NP-SBJ ( NNP Information ) ( NNP International ) ( NNP Inc. ) ) ( VP ( VBD said ) ( SBAR ( S ( NP-SBJ-1 ( PRP it ) ) ( VP ( VBD was ) ( VP ( VBN sued ) ( PP ( IN by ) ( NP-LGS ( NP ( DT a ) ( NN buyer ) ) ( PP ( IN of ) ( NP ( PRP$ its ) ( JJ computerized ) ( JJ newspaper-publishing ) ( NN system ) ) ) ( VP ( VBG alleging ) ( SBAR ( IN that ) ( S ( NP-SBJ-2 ( DT the ) ( NN company ) ) ( VP ( VBD failed ) ( S ( VP ( TO to ) ( VP ( VB correct ) ( NP ( NP ( NNS deficiencies ) ) ( PP-LOC ( IN in ) ( NP ( DT the ) ( NN system ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) |
cp1062 | CP_re_ptb_1522 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
As a result of this trend longtime powerhouses H-P IBM and Digital Equipment Corp. are scrambling to counterattack with microprocessor-based systems of their own
-> | ( S ( PP-PRP ( IN As ) ( NP ( NP ( DT a ) ( NN result ) ) ( PP ( IN of ) ( NP ( DT this ) ( NN trend ) ) ) ) ) ( NP-SBJ-1 ( JJ longtime ) ( NNS powerhouses ) ( NX ( NX ( NNP H-P ) ) ( NX ( NNP IBM ) ) ( CC and ) ( NX ( NNP Digital ) ( NNP Equipment ) ( NNP Corp. ) ) ) ) ( VP ( VBP are ) ( VP ( VBG scrambling ) ( S ( VP ( TO to ) ( VP ( VB counterattack ) ( PP-MNR ( IN with ) ( NP ( NP ( JJ microprocessor-based ) ( NNS systems ) ) ( PP ( IN of ) ( NP ( PRP$ their ) ( JJ own ) ) ) ) ) ) ) ) ) ) ) |
cp23 | CP_re_ptb_52 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
A prolonged production halt at the plant could introduce another imponderable into Quantum 's financial future
-> | ( S ( NP-SBJ ( NP ( DT A ) ( JJ prolonged ) ( NN production ) ( NN halt ) ) ( PP-LOC ( IN at ) ( NP ( DT the ) ( NN plant ) ) ) ) ( VP ( MD could ) ( VP ( VB introduce ) ( NP ( DT another ) ( NN imponderable ) ) ( PP-DIR ( IN into ) ( NP ( NP ( NNP Quantum ) ( POS 's ) ) ( JJ financial ) ( NN future ) ) ) ) ) ) |
cp1625 | CP_re_ptb_686 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
But the build-up of S&P futures sell orders weighed on the market and the link with stocks began to fray again
-> | ( S ( S ( CC But ) ( NP-SBJ ( NP ( DT the ) ( NN build-up ) ) ( PP ( IN of ) ( NP ( NNP S&P ) ( NNS futures ) ( NN sell ) ( NNS orders ) ) ) ) ( VP ( VBD weighed ) ( PP-CLR ( IN on ) ( NP ( DT the ) ( NN market ) ) ) ) ) ( CC and ) ( S ( NP-SBJ-1 ( NP ( DT the ) ( NN link ) ) ( PP ( IN with ) ( NP ( NNS stocks ) ) ) ) ( VP ( VBD began ) ( S ( VP ( TO to ) ( VP ( VB fray ) ( ADVP-TMP ( RB again ) ) ) ) ) ) ) ) |
cp1861 | CP_re_ptb_1200 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
The Hong Kong Telecommunications warrants should be attractive to buyers in Europe the bankers added because the group is one of a handful of blue-chip stocks on the Hong Kong market that has international appeal
-> | ( S-3 ( NP-SBJ ( DT The ) ( NNP Hong ) ( NNP Kong ) ( NNP Telecommunications ) ( NNS warrants ) ) ( VP ( MD should ) ( VP ( VB be ) ( ADJP-PRD ( JJ attractive ) ( PP ( TO to ) ( NP ( NP ( NNS buyers ) ) ( PP-LOC ( IN in ) ( NP ( NNP Europe ) ) ) ) ) ) ( PRN ( S ( NP-SBJ ( DT the ) ( NNS bankers ) ) ( VP ( VBD added ) ) ) ) ( SBAR-PRP ( IN because ) ( S ( NP-SBJ ( DT the ) ( NN group ) ) ( VP ( VBZ is ) ( NP-PRD ( NP ( CD one ) ) ( PP ( IN of ) ( NP ( NP ( DT a ) ( NN handful ) ) ( PP ( IN of ) ( NP ( NP ( JJ blue-chip ) ( NNS stocks ) ) ( PP-LOC ( IN on ) ( NP ( DT the ) ( NNP Hong ) ( NNP Kong ) ( NN market ) ) ) ( SBAR ( WHNP-2 ( WDT that ) ) ( S ( VP ( VBZ has ) ( NP ( JJ international ) ( NN appeal ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) |
cp908 | CP_re_ptb_697 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
And I think a lot of people will harp on program trading
-> | ( S ( CC And ) ( NP-SBJ ( PRP I ) ) ( VP ( VBP think ) ( SBAR ( S ( NP-SBJ ( NP ( DT a ) ( NN lot ) ) ( PP ( IN of ) ( NP ( NNS people ) ) ) ) ( VP ( MD will ) ( VP ( VB harp ) ( PP-CLR ( IN on ) ( NP ( NN program ) ( NN trading ) ) ) ) ) ) ) ) ) |
cp1837 | CP_re_ptb_1106 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Iowa for instance saw its population grow by 11,000 people or 0.4 % between 1987 and 1988 the Census Bureau says
-> | ( S ( S-TPC-1 ( NP-SBJ ( NNP Iowa ) ) ( PP ( IN for ) ( NP ( NN instance ) ) ) ( VP ( VBD saw ) ( S ( NP-SBJ ( PRP$ its ) ( NN population ) ) ( VP ( VB grow ) ( PP-EXT ( IN by ) ( NP ( NP ( CD 11,000 ) ( NNS people ) ) ( CC or ) ( NP ( CD 0.4 ) ( NN % ) ) ) ) ( PP-TMP ( IN between ) ( NP ( CD 1987 ) ( CC and ) ( CD 1988 ) ) ) ) ) ) ) ( NP-SBJ ( DT the ) ( NNP Census ) ( NNP Bureau ) ) ( VP ( VBZ says ) ) ) |
cp1334 | CP_re_ptb_1099 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Union officials have taken a beating politically as a result
-> | ( S ( NP-SBJ ( NN Union ) ( NNS officials ) ) ( VP ( VB have ) ( VP ( VBN taken ) ( NP ( DT a ) ( NN beating ) ) ( ADVP ( RB politically ) ) ( PP-PRP ( IN as ) ( NP ( DT a ) ( NN result ) ) ) ) ) ) |
cp784 | CP_re_ptb_34 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Some say November
-> | ( S ( NP-SBJ ( DT Some ) ) ( VP ( VBP say ) ( NP ( NNP November ) ) ) ) |
cp525 | CP_re_ptb_272 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Because the legislation has n't been completed President Bush has until midnight tonight to enact across-the-board spending cuts mandated by the Gramm-Rudman deficit-reduction law
-> | ( S ( SBAR-PRP ( IN Because ) ( S ( NP-SBJ-1 ( DT the ) ( NN legislation ) ) ( VP ( VBZ has ) ( RB n't ) ( VP ( VBN been ) ( VP ( VBN completed ) ) ) ) ) ) ( NP-SBJ-2 ( NNP President ) ( NNP Bush ) ) ( VP ( VBZ has ) ( PP-TMP ( IN until ) ( NP ( NP ( NN midnight ) ) ( NP-TMP ( NN tonight ) ) ) ) ( S-CLR ( VP ( TO to ) ( VP ( VB enact ) ( NP ( NP ( JJ across-the-board ) ( NN spending ) ( NNS cuts ) ) ( VP ( VBN mandated ) ( PP ( IN by ) ( NP-LGS ( DT the ) ( NNP Gramm-Rudman ) ( NN deficit-reduction ) ( NN law ) ) ) ) ) ) ) ) ) ) |
cp2232 | CP_re_ptb_1877 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Mr. Andre issued the ruling based on a recommendation by Investment Canada
-> | ( S ( NP-SBJ ( NNP Mr. ) ( NNP Andre ) ) ( VP ( VBD issued ) ( NP ( DT the ) ( NN ruling ) ) ( PP ( VBN based ) ( PP ( IN on ) ( NP ( NP ( DT a ) ( NN recommendation ) ) ( PP ( IN by ) ( NP ( NNP Investment ) ( NNP Canada ) ) ) ) ) ) ) ) |
cp359 | CP_re_ptb_1299 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
We 're going to look for some of the better-known companies that got clocked Friday
-> | ( S ( NP-SBJ-2 ( PRP We ) ) ( VP ( VBP 're ) ( VP ( VBG going ) ( S ( VP ( TO to ) ( VP ( VB look ) ( PP-CLR ( IN for ) ( NP ( NP ( DT some ) ) ( PP ( IN of ) ( NP ( NP ( DT the ) ( JJ better-known ) ( NNS companies ) ) ( SBAR ( WHNP-1 ( WDT that ) ) ( S ( VP ( VBD got ) ( VP ( VBN clocked ) ( NP-TMP ( NNP Friday ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) ) |
cp165 | CP_re_ptb_1991 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Would Mr. Antori ever get back in
-> | ( SQ ( MD Would ) ( NP-SBJ ( NNP Mr. ) ( NNP Antori ) ) ( ADVP-TMP ( RB ever ) ) ( VP ( VB get ) ( ADVP-CLR ( RB back ) ) ( ADJP-PRD ( RP in ) ) ) ) |
cp2239 | CP_re_ptb_885 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
Time magazine executives predictably paint the circulation cut as a show of strength and actually a benefit to advertisers
-> | ( S ( NP-SBJ ( NNP Time ) ( NN magazine ) ( NNS executives ) ) ( ADVP ( RB predictably ) ) ( VP ( VBP paint ) ( NP ( DT the ) ( NN circulation ) ( NN cut ) ) ( PP-CLR ( IN as ) ( NP ( NP ( NP ( DT a ) ( NN show ) ) ( PP ( IN of ) ( NP ( NN strength ) ) ) ) ( CC and ) ( NP ( NP ( RB actually ) ( DT a ) ( NN benefit ) ) ( PP ( TO to ) ( NP ( NNS advertisers ) ) ) ) ) ) ) ) |
cp1120 | CP_re_ptb_1343 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
The executives were remarkably unperturbed by the plunge even though it lopped billions of dollars off the value of their companies and millions off their personal fortunes
-> | ( S ( NP-SBJ ( DT The ) ( NNS executives ) ) ( VP ( VBD were ) ( ADJP-PRD ( RB remarkably ) ( JJ unperturbed ) ( PP ( IN by ) ( NP ( DT the ) ( NN plunge ) ) ) ) ( SBAR-ADV ( RB even ) ( IN though ) ( S ( NP-SBJ ( PRP it ) ) ( VP ( VP ( VBD lopped ) ( NP ( NP-1 ( NNS billions ) ) ( PP ( IN of ) ( NP ( NNS dollars ) ) ) ) ( PP-CLR-2 ( IN off ) ( NP ( NP ( DT the ) ( NN value ) ) ( PP ( IN of ) ( NP ( PRP$ their ) ( NNS companies ) ) ) ) ) ) ( CC and ) ( VP ( NP=1 ( NNS millions ) ) ( PP-CLR=2 ( IN off ) ( NP ( PRP$ their ) ( JJ personal ) ( NNS fortunes ) ) ) ) ) ) ) ) ) |
cp919 | CP_re_ptb_1473 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
The index which registered 156.8 at the end of September has a base of 100 set in 1983 and is n't seasonally adjusted
-> | ( S ( NP-SBJ-2 ( NP ( DT The ) ( NN index ) ) ( SBAR ( WHNP-1 ( WDT which ) ) ( S ( VP ( VBD registered ) ( NP ( CD 156.8 ) ) ( PP-TMP ( IN at ) ( NP ( NP ( DT the ) ( NN end ) ) ( PP ( IN of ) ( NP ( NNP September ) ) ) ) ) ) ) ) ) ( VP ( VP ( VBZ has ) ( NP ( NP ( DT a ) ( NN base ) ) ( PP ( IN of ) ( NP ( CD 100 ) ) ) ( VP ( NN set ) ( PP-TMP ( IN in ) ( NP ( CD 1983 ) ) ) ) ) ) ( CC and ) ( VP ( VBZ is ) ( RB n't ) ( VP ( ADVP ( RB seasonally ) ) ( VBN adjusted ) ) ) ) ) |
cp1019 | CP_re_ptb_2180 | Perform constituency parsing on the provided sentences in accordance with the Penn TreeBank annotation guidelines. Fill in the last mapping.
The market needs a strong signal that we 're serious about deficit reduction and the best way to do that is for the House of Representatives to strip their bill of similar provisions Sen. Warren Rudman R. N.H said yesterday
-> | ( S ( S-TPC-2 ( S ( NP-SBJ ( DT The ) ( NN market ) ) ( VP ( VBZ needs ) ( NP ( DT a ) ( JJ strong ) ( NN signal ) ( SBAR ( IN that ) ( S ( NP-SBJ ( PRP we ) ) ( VP ( VBP 're ) ( ADJP-PRD ( JJ serious ) ( PP ( IN about ) ( NP ( NN deficit ) ( NN reduction ) ) ) ) ) ) ) ) ) ) ( CC and ) ( S ( NP-SBJ ( NP ( DT the ) ( JJS best ) ( NN way ) ) ( SBAR ( S ( VP ( TO to ) ( VP ( VB do ) ( NP ( DT that ) ) ) ) ) ) ) ( VP ( VBZ is ) ( SBAR-PRD ( IN for ) ( S ( NP-SBJ ( NP ( DT the ) ( NNP House ) ) ( PP ( IN of ) ( NP ( NNPS Representatives ) ) ) ) ( VP ( TO to ) ( VP ( VB strip ) ( NP ( PRP$ their ) ( NN bill ) ) ( PP-CLR ( IN of ) ( NP ( JJ similar ) ( NNS provisions ) ) ) ) ) ) ) ) ) ) ( NP-SBJ ( NP ( NNP Sen. ) ( NNP Warren ) ( NNP Rudman ) ) ( PRN ( NP ( NNP R. ) ) ( NP-LOC ( NNP N.H ) ) ) ) ( VP ( VBD said ) ( NP-TMP ( NN yesterday ) ) ) ) |