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Ibaka granted Spanish citizenship, will play in EuroBasket
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http://probasketballtalk.nbcsports.com/2011/07/15/ibaka-granted-spanish-citizenship-will-play-in-eurobasket/
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Catania holds Roma to 1-1 draw in Serie a
0.281046
http://m.si.com/news/sp/to_soccer_sports/detail/4713261;.cnnsi1
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State Street launches new investment servicing solution
0.285171
http://www.equities.com/news/headline-story?dt=2012-09-22&val=509539&cat=finance
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Coal company Massey could have corporate charter revoked
0.486842
http://www.sustainablebusiness.com/index.cfm/go/news.display/id/22939
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Foundation for MetroWest awards grants to 37 food pantries across region
0.543353
http://www.metrowestdailynews.com/news/x255282332/Foundation-for-MetroWest-awards-grants-to-37-food-pantries-across-region
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Wong won't rule out super raid
0.17033
http://www.skynews.com.au/politics/article.aspx?id=857760
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Tiny robots developed by company
0.357143
http://www.thisischeshire.co.uk/news/4194958.Tiny_robots_developed_by_company/
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Jordan, South Korea to cooperate on regulatory issues
0.578512
http://www.jordantimes.com/?news=26796
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City Council Member Jackson to hold town hall meetings
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http://manhattantimesnews.com/2011/city-council-member-jackson-to-hold-town-hall-meetings.html
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Tim Cowlishaw makes a bad joke
0.288462
http://www.watchkalibrun.com/2009/9/19/1037923/tim-cowlishaw-makes-a-bad-joke
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Brown discussed car industry crisis with Merkel
0.368421
http://uk.reuters.com/article/topNews/idUKTRE52F3HU20090316
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Fun and food to help Children's Hospital
0.593407
http://www.eastpeoriatimescourier.com/newsnow/x1109736330/Fun-and-food-to-help-Childrens-Hospital
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Police deny fears over response times
0.529412
http://www.biggleswadetoday.co.uk/news/local-news/police-deny-fears-over-response-times-1-4213533
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Governor Beebe announces intent to grant pardons
0.719512
http://www.katv.com/story/15937455/governor-beebe-announces-intent-to-grant-pardons
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Andrzej Fonfara defeats Glen Johnson:
0.242038
http://www.examiner.com/article/andrzej-fonfara-defeats-glen-johnson-johnson-retires
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Capello refuses to get carried away
0.254144
http://www.worldsoccer.com/news/capello_refuses_to_get_carried_away_news_270040.html
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{ "text": "A former Gulf Breeze Police officer is being arrested.", "edge": { "parent_id": [ -1, 11, 11, 10, 14 ], "child_id": [ 14, 10, 7, 8, 11 ] } }
Former Gulf Breeze officer being arrested
0.296703
http://www.pensacolanewsjournal.com/apps/pbcs.dll/article?AID=/20080125/NEWS01/80125016
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Abilene teenager killed in early Sunday wreck
0.654762
http://www.salina.com/news/story/fatality2012-04-08T13-41-29
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Screenings identify those with stroke, vascular disease, osteoporosis
0.542636
http://www.tribstar.com/healthfitness/local_story_041205716.html
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Benn bowled a marathon spell
0.192118
http://cricket.timesofindia.indiatimes.com/News/Benn_bowled_a_marathon_spell/articleshow/4078705.cms
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Physiotherapist 'uses pigs to help patients'
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http://m.digitalspy.co.uk/odd/news/a308829/physiotherapist-uses-pigs-to-help-patients.html
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http://tellymix.co.uk/ratings/112734-strictly-come-dancing-increases-lead-over-x-factor-in-ratings.html
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Times Square bombing suspect pleads guilty
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http://gantdaily.com/2010/06/22/times-square-bombing-suspect-pleads-guilty/
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Lamont Peterson fails drug test;
0.189189
http://www.newser.com/article/d9ukm91o3/lamont-peterson-fails-drug-test-may-19-bout-in-las-vegas-against-amir-khan-in-doubt.html
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{ "text": "Britain would be justified to withdraw the Royal wedding invitation.", "edge": { "parent_id": [ 12, 16, -1, 10, 16, 10 ], "child_id": [ 16, 15, 10, 7, 14, 12 ] } }
Britain must withdraw the royal wedding invitation
0.354167
http://bulawayo24.com/index-id-opinion-sc-columnist-byo-2994-article-Britain+must+withdraw+the+Royal+wedding+invitation.html
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Intermec to cut 150 jobs, 7 percent of work force
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http://www.economicnews.ca/cepnews/wire/article/205206
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Karthikeyan finishes 10th in A1 Grand Prix
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Sa must continue with stimulus package
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http://www.citizen.co.za/index/News/927114.page
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Law would allow police to draw blood from
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http://www.myfoxaustin.com/dpp/news/012809_dwibloodwarrants
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{ "text": "A law would allow police officers to draw the blood.", "edge": { "parent_id": [ 18, 18, 15, 20, 22, 22, 18, 24, 22 ], "child_id": [ 16, 17, 18, 19, 20, 21, 22, 23, 24 ] } }

Dataset Card for Google Sentence Compression

Dataset Summary

A major challenge in supervised sentence compression is making use of rich feature representations because of very scarce parallel data. We address this problem and present a method to automatically build a compression corpus with hundreds of thousands of instances on which deletion-based algorithms can be trained. In our corpus, the syntactic trees of the compressions are subtrees of their uncompressed counterparts, and hence supervised systems which require a structural alignment between the input and output can be successfully trained. We also extend an existing unsupervised compression method with a learning module. The new system uses structured prediction to learn from lexical, syntactic and other features. An evaluation with human raters shows that the presented data harvesting method indeed produces a parallel corpus of high quality. Also, the supervised system trained on this corpus gets high scores both from human raters and in an automatic evaluation setting, significantly outperforming a strong baseline.

Supported Tasks and Leaderboards

[More Information Needed]

Languages

English

Dataset Structure

Data Instances

Each data instance should contains the information about the original sentence in instance["graph"]["sentence"] as well as the compressed sentence in instance["compression"]["text"]. As this dataset was created by pruning dependency connections, the author also includes the dependency tree and transformed graph of the original sentence and compressed sentence.

Data Fields

Each instance should contains these information:

  • graph (Dict): the transformation graph/tree for extracting compression (a modified version of a dependency tree).
    • This will have features similar to a dependency tree (listed bellow)
  • compression (Dict)
    • text (str)
    • edge (List)
  • headline (str): the headline of the original news page.
  • compression_ratio (float): the ratio between compressed sentence vs original sentence.
  • doc_id (str): url of the original news page.
  • source_tree (Dict): the original dependency tree (features listed bellow).
  • compression_untransformed (Dict)
    • text (str)
    • edge (List)

Dependency tree features:

  • id (str)
  • sentence (str)
  • node (List): list of nodes, each node represent a word/word phrase in the tree.
    • form (string)
    • type (string): the enity type of a node. Defaults to "" if it's not an entity.
    • mid (string)
    • word (List): list of words the node contains.
      • id (int)
      • form (str): the word from the sentence.
      • stem (str): the stemmed/lemmatized version of the word.
      • tag (str): dependency tag of the word.
    • gender (int)
    • head_word_index (int)
  • edge: list of the dependency connections between words.
    • parent_id (int)
    • child_id (int)
    • label (str)
  • entity_mention list of the entities in the sentence.
    • start (int)
    • end (int)
    • head (str)
    • name (str)
    • type (str)
    • mid (str)
    • is_proper_name_entity (bool)
    • gender (int)

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

[More Information Needed]

Licensing Information

[More Information Needed]

Citation Information

[More Information Needed]

Contributions

Thanks to @mattbui for adding this dataset.

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