# Presentation: 577987

## An Introduction to DUC-2003  Intrinsic Evaluation of Generic News Text Summarization Systems

- Paul Over
- Retrieval Group
- Information Access Division
- James Yen
- Statistical Modeling and Analysis Group
- Statistical Engineering Division
- National Institute of Standards and Technology
- Sponsored by DARPA and ARDA

- DUC 2003

## Document Understanding Conferences (DUC)... 

- Summarization has always been a TIDES component
- An evaluation roadmap created in 2000 after spring TIDES PI meeting
- Specifies a series of annual cycles
- Year 1 (DUC-2001 at SIGIR in September 2001)
- Intrinsic evaluation of generic summaries,
- of newswire/paper stories
- for single and multiple documents;
- with fixed target lengths of 50, 100, 200, and 400 words
- 60 sets of 10 documents used
- 30 for training
- 30 for test

- DUC 2003

## ... Document Understanding Conferences (DUC)

- Year 2 – short cycle – (DUC-2002 at ACL ’02 in July 2002)
- Intrinsic evaluation of generic summaries,
- of newswire/paper stories
- for single and multiple documents
- Abstracts of single documents and document sets
- fixed lengths of 10, 50, 100, and 200 words
- manual evaluation using SEE software at NIST
- Extracts of document sets
- fixed target lengths of 200 and 400 words
- automatic evaluation at NIST and by participants
- 60 sets of ~10 documents each
- All for test
- No new training data
- Two abstracts/extracts per document (set)

- DUC 2003

## Goals of the talk

- Provide an overview of DUC 2003:
- Data: documents, topics, viewpoints, manual summaries
- Tasks:
- 1: very short (~10-word) single document summaries
- 2-4: short (~100-word) multi-document summaries with focus
- 		2: TDT event topics
- 		3:  viewpoints
- 		4: question/topic
- Evaluation: procedures, measures
- Experience with implementing the evaluation procedure
- Introduce the results (what happened):
- Basics of system performance on the measures
- Sanity checking the results and measures
- Exploration of various questions:
- Performance of systems relative to baselines and humans
- Relative performance among systems – significant differences?

- DUC 2003

## Data: Formation of test document sets

- 30 TDT clusters (298 documents; ~352 sentences/docset)
- 30 event topics and documents chosen by NIST
- 15 from TDT2
- 15 from TDT3
- NIST chose a subset of the documents the TDT annotator decided were “on topic”
- 30 TREC clusters (326 documents; ~335 sentences/docset)
- Chosen by NIST assessors on topics of interest to them
- No restrictions as to topic type
- 30 TREC Novelty clusters (~66 relevant sentences/docset)
- 30 Novelty topics picked by NIST (based on assessor agreement)
- All (~25) Novelty track documents/cluster included
- Relevant/novel sentences identified by Novelty assessors

- DUC 2003

## Manual abstract creation (x 4) 

- multi-doc
- summary

**Manual abstract creation (x 4)**** **

- TDT
- docs

- TREC
- docs

- Novelty
- docs

- Very short
-    single-doc
-       summaries

- Short
- multi-doc
- summary

- Short
- multi-doc
- summary

- TREC Novelty topic

- Relevant/novel
- sentences

- Very short
-    single-doc
-       summaries

- +

- TDT topic

- +

- Viewpoint

- Task 2

- Task 3

- Task 4

- Task 1

- +

- DUC 2003

**Notes:**
There were 9 groups who contributed to the design and actually ran the experiments.

I also want to thank friends of the track who did not run experiments for their contributions to the design discussions.

This talk is laid out as follows >>>

## Baseline summaries etc.

- NIST (Nega Alemayehu) created baseline summaries
- Baselines 2-5: automatic
- based roughly on algorithms suggested by Daniel Marcu
- no truncation of sentences, so some baseline summaries went over the limit (+ <=15 words) and some were shorter than required)
- Original author’s headline 1 (task 1)
- Use the document’s  own “headline” element
- Baseline 2 (tasks 2, 3)
- Take the 1st  100 words in the most recent document.
- Baseline 3 (tasks 2, 3)
- Take the 1st  sentence in the 1st, 2nd, 3rd,... document in chronological sequence until you have 100 words.
- Baseline 4 (task 4)
- Take the 1st  100 words from the 1st  n relevant sentences in the 1st  document in the set. ( Documents ordered by relevance ranking given with the topic.)
- Baseline 5 (task 4)
- Take the 1st  relevant sentence from the 1st, 2nd, 3rd,... document until you have 100 words. (Documents ordered by relevance ranking given with the topic.)

- DUC 2003

## Submitted summaries by system and task

**SYSID              Code  T1  T2   T3   T4  Group**
**---------------------------- --      ---    --     --     --    ------------------------**
**AMDS_HW.v1                    6        -    30      -      -    Heriot-Watt University**
**uam.duc2003.v6                7      624     -      -      -    University of Madrid**
**gistkey.duc03                 8      624     -      -      -    Federal U. of Sao Carlos**
**bbn.umd.hedge                 9      624     -      -      -    BBN / U. of Maryland**
**CL.Research.duc03            10      622    30     30     30    CL Research**
**cslab.duc03                  11        -    30     30      -    NTT**
**fudan.duc2003                12        -    30      -      -    Fudan University**
**isiwebcl.duc2003.vcombined   13      624    30     30     30    ISI/USC**
**aquaintandmultigenanddems    14        -    30      -     30    Columbia University**
**ku.duc2003                   15      624    30     30      -    Korea University**
**ccsnsa.duc03.v3              16        -    30     30     29    NSA+**
**UofLeth-DUC2003              17      624    30     30     30    University of Lethbridge**
**kul.2003                     18      624    30     30      -    University of Leuven**
**SumUMFAR                     19        -    30      -     30    University of Montreal**
**crl_nyu.duc03                20        -    30     30     30    New York University**
**uottawa                      21      624    30     30      -    University of Ottowa**
**lcc.duc03                    22      624    30     30     30    LCC**
**UofM-MEAD                    23        -    30     30     30    University of Michigan**
**UDQ                          24      564     -      -      -    University of Girona**
**CLaC.DUCTape.Summarizer      25      624     -      -      -    Concordia University**
**saarland.2003                26      624    30      -      -    Univ. of the Saarland**

- DUC 2003

## Evaluation basics

- Content coverage and linguistic quality:
- Intrinsic evaluation by humans using special rewritten version of SEE  (thanks to Lei Ding and Chin-Yew Lin at ISI)
- Compare:
- a model summary  - authored by a human
- a peer summary     - system-created, baseline, or additional manual
- Produce judgments of:
- Peer quality (12 questions)
- Coverage of each model unit by the peer (recall)
- Relevance of peer-only material
- Usefulness (task 1) and Responsiveness (task 4):
- Simulated extrinsic evaluations
- Comparison together of all peer summaries for a given doc(set)
- Assignment of each summary to one of 5 bins

- DUC 2003

## Models

- Source:
- Authored by a human
- For 2003, the assessor is always the model’s author
- Formatting:
- Divided into model units (MUs)
- (MUs == EDUs - thanks to Radu Soricut at ISI)
- Lightly edited by authors to integrate uninterpretable fragments
- George Bush’s selection of Dan Quale
- as his running mate surprised many
- many political observers thought him a lightweight with baggage
- to carry
- Flowed together with HTML tags for SEE

- DUC 2003

## Peers

- Formatting:
- Divided into peer units (PUs) –
- simple automatically determined sentences
- tuned slightly to documents and submissions
- Abbreviations list
- List of proper nouns
- Flowed together with HTML tags for SEE
- 4  Sources:
- Author’s headline:                                                     1
- Automatically generated by baseline algorithms:  2 – 5
- Automatically generated by research systems:     6 – 26
- Authored by a human other than the assessor:    A – J

- DUC 2003

## SEE: overall peer quality

- DUC 2003

## Overall peer quality12 Questions developed with participants

- About how many gross capitalization errors are there?
- About how many sentences have incorrect word order?
- About how many times does the subject fail to agree in number with the verb?
- About how many of the sentences are missing important components (e.g. the subject, main verb, direct object, modifier) – causing the sentence to be ungrammatical, unclear, or misleading?
- About many times are unrelated fragments joined into one sentence?

- Answer categories:     0       1-5       6-10       >10

- DUC 2003

## Overall peer quality

- About how many times are articles (a, an, the) missing or used incorrectly?
- About how many pronouns are there whose antecedents are incorrect, unclear, missing, or come only later?
- For about how many nouns is it impossible to determine clearly who or what they refer to?
- About how times should a noun or noun phrase have been replaced with a pronoun?
- About how many dangling conjunctions are there ("and", "however"...)?
- About many instances of unnecessarily repeated information are there?
- About how many sentences strike you as being in the wrong place because they indicate a strange time sequence, suggest a wrong cause-effect relationship, or just don't fit in topically with neighboring sentences?

- DUC 2003

## Overall peer qualitySystems > Baselines >= Manual

|  | n | Mean | ~95% CI | Max |
| --- | --- | --- | --- | --- |
| Task 2 |  |  |  |  |
| Systems | 450 | 2.379 | 2.189 - 2.569 | 10 |
| Baselines | 60 | 0.900 | 0.786 - 1.014 | 3 |
| Manuals | 90 | 0.622 | 0.442 - 0.882 | 5 |
| Task 3 |  |  |  |  |
| Systems | 330 | 2.315 | 2.108 - 2.522  | 9 |
| Baselines | 60 | 1.048 | 0.935 - 1.161 | 3 |
| Manuals | 90 | 0.356 | 0.207 - 0.505 | 4 |
| Task 4 |  |  |  |  |
| Systems | 269 | 1.963 | 1.772 - 2.154 | 9 |
| Baselines | 60 | 0.742 | 0.616 - 0.868 | 2 |
| Manuals | 89 | 0.386 | 0.221 - 0.551 | 3 |

- Mean number of quality questions indicating one or more errors

- DUC 2003

## Overall peer qualityUneven distribution of non-zero scores by question

- Task 2

- Task 3

- Task 4

- Question   1        2        3        4       5        6        7       8        9      10     11    12

- 300

- Capitalization error

- Noun referent unknown

- Sentence out of place

- 1-5

- 6-10

- >10

- DUC 2003

## Overall peer qualityQ1: Capitalization 

**Overall peer quality**Q1: Capitalization

- DUC 2003

## Overall peer qualityQ1: Capitalization 

- PARIS, February 20 (Xinhua) -- Declaring that "Currency is politics," French Prime Minister Alain Juppe today reiterated France's determination to realize the single European currency.
- LONDON, March 28 (Xinhua) -- British officials will fight suggestions that UK be forced to enter a new European exchange rate mechanism (ERM) after the proposed European single currency comes into force, it was reported here today.
- LONDON, April 4 (Xinhua) -- British Board of Trade president Ian Lang Wednesday warned that a single European currency could prove harmful to British business if adopted without full and careful consideration of possible consequences.

- DUC 2003

## Overall peer qualityQ8: Noun referent unknown 

- DUC 2003

## Overall peer qualityQ8: Noun referent unknown

- The president indicate that he is willing to strip some of the anti-environmental he wrote that impact his state riders.
- That $18 billion on the International Monetary Fund spending bes a waste of money convince conservatives.
- Dick Armey R-Texas did not predict that the GOP presence in Congress would be even stronger next year when the deal might be reached.
- Republicans attach the president to deem to be anti-environment provisions.
- You know We 're that they are about a domestic thinking concerned.
- Everybody understand the IMF can have American tax dollars.
- The White House ever have that until mid-September.

- DUC 2003

## Overall peer qualityQ12: Misplaced sentences 

- DUC 2003

## Overall peer qualityQ12: Misplaced sentence(s)

- All of these satellites came through Tuesday's meteor shower unscathed.
- Showers of Leonid meteors may produce hundreds or thousands of blazing meteors each hour.
- Some satellites in low-earth orbits can actually hide from meteoroid storms, Ozkul said.
- The scientists who track Temple-Tuttle do not even call it a shower, they call it a meteor storm.
- Satellite experts said that some damage might take days to detect, but that satellites generally seemed to have escaped disabling harm.
- This storm of meteors, called Leonid meteors because they come from the direction of constellation Leo, will be the first to hit the Earth since 1966 when the world's space programs were in their infancy, and its effects on satellite systems are uncertain.

- DUC 2003

## SEE: per-unit content

- DUC 2003

## Per-unit content: evaluation details

- “First, find  all the peer units which tell you at least some of what the current model unit tells you, i.e., peer units which express at least some of the same facts as the current model unit. When you find such a PU, click on it to mark it.
- Requirement for common facts relaxed for very short summaries
- Common references count
- “When you have marked all such PUs for the current MU, then think about the whole set of marked PUs and answer the question:”
-  “The marked PUs, taken together, express  about   [  0%       20%       40%      60%       80%    100%  ]of the meaning expressed by the current model unit”

- DUC 2003

## Per-unit content: % MU-to-peer comparisons with no coverage

-   DUC 2002:
-  All - 62%
-  Manual – 42%
-  DUC 2001
-  All - 63%
-  Appear to be due to real differences in content
-  Do the peers agree on which MUs are not covered?

|  | All  | Manual | Automatic |
| --- | --- | --- | --- |
| Task 1 | 20.9 | 5 | 24.3 |
| Task 2 | 60.3 | 35.1 | 64.5 |
| Task 3 | 68.9 | 48.6 | 73.6 |
| Task 4 | 67.9 | 45.7 | 73.9 |
| Task 4* | 66 | 44.2 | 71.9 |

- DUC 2003

## Per-unit content: Counts of MUs by number of PUs mapped to them

- T1

- T2

- T3

- T4

- DUC 2003

## Per-unit content measures: – recall

- What fraction of the model content is also expressed by peer?
- Mean coverage:
- average of the per-MU completeness judgments [0, 20, 40, 60, 80,100]% for a peer summary
- Mean length-adjusted coverage (2002):
- average of the per-MU length-adjusted coverage judgments for a peer
- length-adjusted coverage = 2/3 * coverage + 1/3 * brevity where brevity =
- 0 if actual summary length >= target length; else
- (target size – actual size) /  target size
- Sets two goal: complete coverage and smallest possible summary
- Perfect score only possible when BOTH goals reached
- Truncate if target size exceeded

- DUC 2003

## Summary lengths (in words)by peer

- T1

- T2

- T3

- T4

- 20
- 10

- 120
- 100

- 120
- 100

- 120
- 100

- DUC 2003

## Per-unit content measures: – recall

- Task 1: Coverage
- coverage
- coverage with penalty   iff over target length
**= coverage * target size / actual size**
**Post hoc substitute for lack of truncation **
- Tasks 2-4: Length-adjusted coverage (LAC)
- improved
**coverage = 0   ********   LAC = 0**
- Improved, with penalty   iff over target length
**=  LAC * target size / actual size**
- proportional
**=  coverage * target size / actual size**

- DUC 2003

## Task 1: Very short summary of a single document

- System task:
- Use the 30 TDT clusters and the 30 TREC clusters
- 734 documents;
- ~12 documents/cluster
- Given:
- Each document
- Create a very short summary
- (~10 words, no specific format other than linear) of it.
- Evaluation:
- SEE
- Coverage
- Extra material
- Usefulness

- DUC 2003

## Task 1: Mean coverage with penalty by peer

- System mean 

- Author’s headline mean 

- Manual mean

**1.0**

**0.4**

- DUC 2003

## Task 1: Mean coverage +/-penalty by peer

- With penalty                                      Without

- S

- A

- M

- S

- A

- M

**1.0**

**1.0**

- DUC 2003

## Task 1: ANOVA (mean coverage with penalty)

-  **Number of observations    9922**
** ****The GLM Procedure**
** **
**         ****R-Square     Coeff Var      Root MSE       Mean**
**         ****0.297547      67.80859      0.208265       0.307137**
**Source                     DF      Type I SS    Mean Square   F Value**
**docset                     59     42.1070990      0.7136796     16.45**
**peer                       22    138.6796453      6.3036202    145.33**
**                    ****Source                 Pr > F**
**                    ****docset                 <.0001**
**                    ****peer                   <.0001**

- DUC 2003

## Task 1: Multiple comparisons (@ 0.05 confidence level)

**                  ****Grouping        Mean      N    peer**
**                       ****A       0.47981    624    1   **
**                                                     **
**                       ****B       0.40160    624    17  **
**                       ****B                             **
**                  ****C    B       0.37788    624    26  **
**                  ****C                                  **
**                  ****C            0.35801    624    18  **
**                                                     **
**                       ****D       0.31763    624    21  **
**                       ****D                             **
**                       ****D       0.30609    624    22  **
**                       ****D                             **
**                       ****D       0.30000    624    7   **
**                       ****D                             **
**                       ****D       0.29199    624    25  **
**                       ****D                             **
**                  ****E    D       0.27468    624    9   **
**                  ****E                                  **
**                  ****E            0.24744    624    13  **
**                  ****E                                  **
**                  ****E            0.23511    564    24  **
**                                                     **
**                       ****F       0.16603    624    15  **
**                       ****F                             **
**                       ****F       0.15338    622    10 **

**Task 1: Multiple comparisons ****(@ 0.05 confidence level)**

- Means with the same letter are not significantly different.

**                                   ****Mean      N    peer**
**                    ****A            0.46712    624    1   **
**                                                       **
**                    ****B            0.37686    624    26  **
**                                                       **
**                    ****C            0.32009    624    17  **
**                    ****C                                  **
**                    ****C            0.30272    624    21  **
**                                                       **
**                    ****D            0.26770    624    9   **
**                    ****D                                  **
**               ****E    D            0.25560    624    18  **
**               ****E    D                                  **
**               ****E    D    F       0.24923    624    22  **
**               ****E    D    F                             **
**               ****E    D    F       0.24744    624    13  **
**               ****E         F                             **
**               ****E         F       0.22206    624    7   **
**                         ****F                             **
**                         ****F       0.21866    624    25  **
**                         ****F                             **
**                         ****F       0.21750    564    24  **
**                                                       **
**                    ****G            0.14949    622    10  **
**                    ****G                                  **
**                    ****G            0.13825    624    15****  **

- Coverage

-  Coverage with penalty

- DUC 2003

## Task 1: Usefulness

- Simulated extrinsic evaluation
- Assessor sees
- each document
- all summaries of that document
- Assessor asked to:
- “Assume the document is one you should read.”
- “Grade each summary according to how useful you think it would be in getting you to choose the document:
- 0 (worst, of no use), 1, 2, 3, or 4 (best)”
- Double assessment

- DUC 2003

## Task 1: Usefulness – Examples

- [Document NYT20000415.0068  text]
** ****4 ** U D107.P.10.C.H.H.A.NYT20000415.0068 :: **False convictions turn some conservatives against death penalty.**
-  **1**  U D107.P.10.C.H.H.7.NYT20000415.0068 :: **[death] their views seem incompatible; a number have raised; The columnist George Will wrote that skepticism.**
-  **4 ** U D107.P.10.C.H.H.1.NYT20000415.0068 :: **LOOK WHO'S QUESTIONING THE DEATH PENALTY**
-  **3 ** U D107.P.10.C.H.H.J.NYT20000415.0068 :: **Conservatives, death penalty, morality, DNA, justice, Will, Pat Robertson, Republican**
** ****0  **U D107.P.10.C.H.H.9.NYT20000415.0068 :: **ranks are admittedly small**
-  **4**  U D107.P.10.C.H.H.B.NYT20000415.0068 :: **Public softens on capital punishment; even conservatives questioning fairness, innocence**
-  **1 ** U D107.P.10.C.H.H.22.NYT20000415.0068 :: **Their views seem incompatible with their political philosophy**
** ****1  **U D107.P.10.C.H.H.15.NYT20000415.0068 :: **That people have an incentive to be that the innocent are never to death by state action unborn or in jail whether they are put sure.**

- DUC 2003

## Task 1: Usefulness by peer~95% confidence intervals around the mean

- DUC 2003

## Task 1: Scaled usefulness & coverage by peer

**Task 1: Scaled usefulness & coverage ****by peer**

- Mean
- coverage

- Usefulness
- scaled

- Usefulness
- scaled

- Mean
- coverage
- with penalty

- DUC 2003

## Task 2: Short summary of document setfocused by a TDT event topic 

- System task:
- Use the 30 TDT clusters
- 298 documents
- ~ 10 documents/cluster
- ~ 352 sentences/cluster
- Given:
- each document cluster
- the associated TDT topic
- Create a short summary (~100 words) of the cluster.
- Evaluation:
- SEE:
- 12 linguistic quality items
- Content coverage
- Extra material

- DUC 2003

## Task 2: Mean length-adjusted coverage with penalty by peer

- B

- S

- M

**0.5**

- DUC 2003

## Task 2: Mean length-adjusted coverage +/- penalty by peer

- With penalty                                      Without

- B

- S

- M

- B

- S

- M

**0.5**

**0.5**

- DUC 2003

## Tasks 2 - 4: ANOVAs

- Try ANOVA to see if baselines, manual, systems are significantly different from each other as groups.
- ANOVA assumptions/checks:
- Data approx. normally distributed with approx. equal variances
- Residuals looked as if  they could have come from the same normal distribution
- Results:
- Task 2: all groups significantly different
- B != S;   S != M;   M != B
- Task 3,4: can’t distinguish systems from baselines

|  | Mean LAC | Mean LAC, 
penalty | Mean LAC, 
proportional |
| --- | --- | --- | --- |
| T2 |  |  |  |
| T3 | Ho: B=S | Ho: B=S | Ho: B=S |
| T4 | Ho: B=S | Ho: B=S | Ho: B=S |
| T4* | Ho: B=S | Ho: B=S | Ho: B=S |

- * Quadruple
-    judgments

- DUC 2003

## Task 2: Multiple comparisons 

-                  **REGWQ Grouping      Mean      N    peer**
**                       ****A      0.18900     30    13  **
**                       ****A                                 **
**            ****B          A      0.18243     30     6  **
**            ****B          A                                 **
**            ****B          A      0.17923     30    16  **
**            ****B          A                                 **
**            ****B          A      0.17787     30    22  **
**            ****B          A                                 **
**            ****B          A      0.17557     30    23  **
**            ****B          A                                 **
**            ****B          A      0.17467     30    14  **
**            ****B          A                                 **
**            ****B          A   C  0.16550     30    20  **
**            ****B          A   C                             **
**            ****B   D      A   C  0.15193     30    18  **
**            ****B   D      A   C                             **
**            ****B   D      A   C  0.14903     30    11  **
**            ****B   D      A   C                             **
**            ****B   D      A   C  0.14520     30    10  **
**            ****B   D      A   C                             **
**            ****B   D  E   A   C  0.14357     30    12  **
**            ****B   D  E   A   C                             **
**            ****B   D  E   A   C  0.14293     30    26  **
**            ****B   D  E       C                             **
**            ****B   D  E       C  0.12583     30    21  **
**                ****D  E       C                             **
**                ****D  E       C  0.11677     30    3   **
**                ****D  E                                     **
**                ****D  E   F      0.09960     30    19  **
**                ****D  E   F                                 **
**                ****D  E   F      0.09837     30    17  **
**                   ****E   F                                 **
**                   ****E   F      0.09057     30    2   **
**                       ****F                                 **
**                       ****F      0.05523     30    15 **

-                                     **     ****Mean      N    peer**
**                      ****A       0.32790     30    22  **
**                      ****A                                  **
**            ****B         A       0.28391     30    13  **
**            ****B         A                                  **
**            ****B         A       0.27685     30    23  **
**            ****B         A                                  **
**            ****B         A       0.27465     30    6   **
**            ****B         A                                  **
**            ****B         A       0.27339     30    16  **
**            ****B         A                                  **
**            ****B         A       0.27135     30    14  **
**            ****B         A                                  **
**            ****B         A    C  0.25117     30    20  **
**            ****B         A    C                             **
**            ****B    D    A    C  0.23752     30    11  **
**            ****B    D    A    C                             **
**            ****B    D    A    C  0.23691     30    18  **
**            ****B    D    A    C                             **
**            ****B    D    A    C  0.23628     30    10  **
**            ****B    D         C                             **
**            ****B    D    E    C  0.21547     30    12  **
**            ****B    D    E    C                             **
**            ****B    D    E    C  0.21422     30    26  **
**            ****B    D    E    C                             **
**            ****B    D    E    C  0.18898     30    21  **
**                 ****D    E    C                             **
**                 ****D    E    C  0.17561     30    3 **
**                 ****D    E                                  **
**            ****F    D    E       0.15485     30    19  **
**            ****F    D    E                                  **
**            ****F    D    E       0.14820     30    17  **
**            ****F         E                                  **
**            ****F         E       0.13968     30    2   **
**            ****F                                            **
**            ****F                 0.08211     30    15  **

-   Mean LAC with penalty                                  Proportional

- DUC 2003

## Task 3: Short summary of document setfocused by a viewpoint statement 

- System task:
- Use the 30 TREC clusters
- 326 documents
- ~ 11 documents/cluster
- ~335 sentences/cluster
- Given
- each document cluster
- a viewpoint description
- create a short summary (~100 words) of the cluster from the point of view specified.
- Evaluation:
- SEE:
- 12 linguistic quality items
- Content coverage
- Extra material

- DUC 2003

## Task 3: Mean length-adjusted coverage with penalty by peer

- B

- S

- M

**0.4**

- DUC 2003

## Task 3: Multiple comparisons 

-                           **REGWQ Grouping  Mean      N    peer**
**                       ****A       0.12830     30    10  **
**                       ****A                             **
**                       ****A       0.12820     30    22  **
**                       ****A                             **
**                  ****B    A       0.12330     30    20  **
**                  ****B    A                             **
**                  ****B    A       0.12250     30    18  **
**                  ****B    A                             **
**                  ****B    A       0.12063     30    16  **
**                  ****B    A                             **
**                  ****B    A       0.11517     30    11  **
**                  ****B    A                             **
**                  ****B    A       0.11223     30    23  **
**                  ****B    A                             **
**                  ****B    A       0.11063     30    17  **
**                  ****B    A                             **
**                  ****B    A       0.10137     30    3   **
**                  ****B    A                             **
**                  ****B    A       0.09850     30    21  **
**                  ****B    A                             **
**                  ****B    A       0.08477     30    13  **
**                  ****B    A                             **
**                  ****B    A       0.07900     30    2   **
**                  ****B                                  **
**                  ****B            0.07127     30    15 **

-  **                    ****Mean      N    peer**
**                    ****A       0.13457      7    23  **
**                    ****A                             **
**                    ****A       0.13400      7    10  **
**                    ****A                             **
**                    ****A       0.11686      7    22  **
**                    ****A                             **
**                    ****A       0.10714      7    3   **
**                    ****A                             **
**                    ****A       0.10543      7    18  **
**                    ****A                             **
**                    ****A       0.09757      7    16  **
**                    ****A                             **
**                    ****A       0.09571      7    11  **
**                    ****A                             **
**                    ****A       0.09157      7    21  **
**                    ****A                             **
**                    ****A       0.08986      7    20  **
**                    ****A                             **
**                    ****A       0.08814      7    15  **
**                    ****A                             **
**                    ****A       0.07700      7    13  **
**                    ****A                             **
**                    ****A       0.07543      7    17  **
**                    ****A                             **
**                    ****A       0.04986      7    2**

- Mean LAC with penalty (full set)       Mean LAC with penalty (subset)

- DUC 2003

## Task 4: Short summary of document set focused by a question

- System task:
- Use the 30 TREC Novelty track clusters
- 734 documents
- ~ 24 documents/cluster
- ~ 66 relevant sentences/cluster
- Given:
- A document cluster
- A question/topic
- Set of sentences in each document that are relevant to the question
- Create a short summary (~100 words) of the cluster that answers the question. Assessors were told to summarize the relevant sentences
- Evaluation:
- SEE:
- 12 linguistic quality items
- Content coverage
- Extra material
- Responsiveness

- DUC 2003

## Task 4*: Mean length-adjusted coverage with penalty by peer

- B

- S

- M

**0.6**

- DUC 2003

## Task 4*: Mean length-adjusted coverage +/- penalty by peer

- With penalty                                      Without

- B

- S

- M

- B

- S

- M

**0.6**

**0.6**

- DUC 2003

## Task 4*: ANOVA

- Try ANOVA to see if baselines, manual, systems are significantly different from each other *as groups*
- Use quadruple judgment data to estimate effect of interactions
- Model:     coverage =
- 			grandmean +
- 			docset +
- 			peer +
- 			assessor +
- 			assessorXpeer +
- 			docsetXpeer +
- 			docsetXassessor +
- 			everything else

- DUC 2003

## Task 4*: ANOVA

**S-Plus: GLM Procedure using ****mean LAC, with penalty**** **
**                                     ****Sum of**
** ****Source                    DF       Squares   Mean Square  F Value**
** ****Model                    506    7.87800677    0.01556918     5.37**
** ****Error                    787    2.28168160    0.00289921         **
** ****Corrected Total         1293   10.15968837                       **
**           **
**        ****R-Square     Coeff Var      Root MSE       Mean**
**        ****0.775418      45.15147      0.053844       0.119253**
** ****Source                    DF     Type I SS   Mean Square  F Value   Pr > F**
** ****docset                    29    1.31306346    0.04527805    15.62   <.0001**
** ****peer                      10    0.94199161    0.09419916    32.49   <.0001**
** ****assess                     9    1.24354441    0.13817160    47.66   <.0001**
** ****assess*peer               90    0.28209045    0.00313434     1.08   0.2939**
** ****docset*peer              289    3.08713511    0.01068213     3.68   <.0001**
** ****docset*assess             79    1.01018173    0.01278711     4.41   <.0001**

- DUC 2003

## Task 4*: Multiple comparisons 

- Means with the same letter are not significantly different.

** ****REGWQ Grouping       Mean      N    peer**
**        ****A         0.155814    118    23  **
**        ****A                                  **
**        ****A         0.144517    118    14  **
**   ****B    A                                  **
**   ****B    A    C    0.141136    118    22  **
**   ****B         C                             **
**   ****B    D    C    0.134596    114    16  **
**   ****B    D    C                             **
**   ****B    D    C    0.131220    118    5   **
**   ****B    D    C                             **
**   ****B    D    C    0.123449    118    10  **
**        ****D    C                             **
**        ****D    C    0.122186    118    13  **
**        ****D                                  **
**        ****D         0.116576    118    4   **
**                                                            **
**        ****E         0.092966    118    17  **
**        ****E                                  **
**        ****E         0.091059    118    20  **
**                                                            **
**        ****F         0.058780    118    19 **

-                          **                  ****Mean      N    peer**
**                         ****A       0.24531    118    23  **
**                         ****A                                  **
**                    ****B    A       0.22017    118    14  **
**                    ****B    A                                  **
**                    ****B    A    C  0.21548    118    22  **
**                    ****B         C                             **
**                    ****B         C  0.20639    118    4   **
**                    ****B         C                             **
**                    ****B         C  0.20574    118    10  **
**                    ****B         C                             **
**                    ****B         C  0.20327    114    16  **
**                    ****B         C                             **
**                    ****B         C  0.19764    118    5   **
**                              ****C                             **
**                              ****C  0.18356    118    13  **
**                                                            **
**                         ****D       0.14008    118    17  **
**                         ****D                                  **
**                         ****D       0.13724    118    20  **
**                                                            **
**                         ****E       0.09011    118    19 **

- Mean LAC with penalty                                      Proportional

- DUC 2003

## Task 4: Responsiveness

- Simulated extrinsic evaluation
- Assessor sees
- the topic for the docset
- the file of relevant/novel sentences from the docset
- all summaries of that docset
- Assessor asked to:
- “Read the topic/question and all the summaries.”
- “Consult the relevant sentences as needed.”
- “Grade each summary according to how responsive it is in form and content to the question:
- 0 (worst), 1, 2, 3, or 4 (best).”
- Double assessment

- DUC 2003

## Task 4: Responsiveness by peer~95% confidence intervals  around  the mean

- DUC 2003

## Task 4: Scaled responsiveness vs coverage by peer

- Mean LAC

- Mean LAC with penalty

- Proportional

- Responsiveness
- scaled

- Responsiveness
- scaled

- Responsiveness
- scaled

**0.8**

**0.8**

**0.8**

- DUC 2003

## SEE: unmarked peer units

- DUC 2003

## Unmarked peer units: evaluation details

- How many of the unmarked peer units are not good enough to be in the model, but at least relevant to the model’s subject?
- 0%  20%  40%  60%  80%  100% ?
- If the number of unmarked PUs is
- 2,  choose 0, or 100%
- 3,  choose 0, 60, or 100%
- 4,  choose 0, 20, 60, 80, or 100%
- If half the unmarked PUs are relevant
- Choose 60%
- Mean number of units per summary:

|  | PUs/summary | MUs/summary |
| --- | --- | --- |
| T1 | 1 |   1 |
| T2 | 4.0 | 10.2 |
| T3 | 4.1 | 10.3 |
| T4 | 3.8 |   8.8 |

- DUC 2003

## How many abstracts with N unmarked peer units?

- 0         2        4         6         8       10

- 0         2         4         6        8       10

- 0         2        4         6         8       10

- 0         2        4         6         8       10

**8000**

**250**

**150**

**600**

- T1

- T2

- T3

- T4

- DUC 2003

## How many peer summaries had what % of their unmarked peer units related to model’s subject?

- 0       0.2      0.4     0.6      0.8     1.0

- 0       0.2      0.4     0.6      0.8     1.0

- 0       0.2      0.4     0.6      0.8     1.0

- 0       0.2      0.4     0.6      0.8     1.0

**250**

**1200**

**250**

**600**

- T1

- T2

- T3

- T4

- DUC 2003

## Summing up... Overview of tasks by peer

**Summing up... ****Overview of tasks by peer**

- DUC 2003

## Summing up ...

- Per-unit content (coverage):
- Still considerable room for system improvement despite large disagreement among humans
- Most systems indistinguishable from each other in terms of the measures:
- Task 1
- Can distinguish a top and a bottom group but not most systems, which are in the middle
- Task 2,3,4
- Can distinguish only the systems at each extreme (tasks 2,3) or perhaps bottom group from the rest (task 4)
- Cannot distinguish systems as a group from baselines in tasks 3,4

- DUC 2003

## Summing up ...

- Overall peer quality:
- Results pass several sanity checks
- Systems, baselines, and manual are distinguishable
- Are the “error” conditions too rare to be useful (for largely extractive approaches?)
- Usefulness
- Manual summaries distinct from systems
- Tracks coverage for very short summaries
- Can/should it replace the detailed SEE coverage judgments?
- Were the lists of keywords more useful then “headline”?
- Responsiveness
- Manual summaries distinct from systems/baselines
- Tracks coverage generally
- Seems doable, but does it measure something different, useful?

- DUC 2003