iclef-2003 at maryland headline generation and interactive query formulation
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iCLEF-2003 at Maryland Headline Generation and Interactive Query Formulation. Douglas W. Oard and the Maryland/BBN iCLEF team. Outline. Document selection First 40 translated words Automatically generated translated “headlines” Application: news stories from speech recognition - PowerPoint PPT PresentationTRANSCRIPT
21 August 2003 CLEF 2003
iCLEF-2003 at MarylandHeadline Generation and
Interactive Query Formulation
Douglas W. Oardand the Maryland/BBN iCLEF team
Outline
• Document selection– First 40 translated words– Automatically generated translated “headlines”
• Application: news stories from speech recognition
• Iterative refinement– User-assisted query translation– First 40 words + access to full translation
Berne, 25 May (sda) the Upper House of Parliament supports the objectives that national campaign against racism. It is ready, all possibilities to examine, like the Council of Europe the action of the working group that YouthIn the small urban villa at the Museum in Amsterdam took 11 1987 one of the largest German tax affairs their beginning. Here **time-out** hid the company Sunpark sport B.V. Steffis income before that German treasury. Nut/mother ofIslamabad, 26th Dec (sda/afp) the authorities of Pakistan have that on Monday Indian Consulate General in Karachi closed. To the reason that said a minister of foreign affairs of Pakistan Najmuddin Sheikh, India is into unrests in
Berne, 31 January (sda) eight months before the popular vote has itself on Monday in Berne the Swiss federal committee “to the anti racism law” presented. Nearly all parties are, likewise involved employers and Trade unions as well as
Berne, 7 September (sda) the Upper House of Parliament endorses an active participation that Switzerland at the European youth campaign against racism and intolerance. It is ready, so rapidly as possible the necessary decisions to
Geneva, 9 March (sda) the UN human right commission has on Wednesday for the first time a resolution against the racism generally as well as the antisemitism, the racism against Arabs and against black ones discharges. Before one
Zurich, 26 October (sda) the boy LDU does not want Scientologist in its Rows. Executive committee and presidency have one in the statutes incompatability rule imported, like JLDU vice-president Roland Tschaeppeler on Wednesday
St. Gallen, 26 August (sda) of members of FDP of the city pc, Gallen have that Party exclusion of the pc, Galler of physician and opponent of the Anti racism of law walter Fischbacher requests. Like it in one Report of Friday is called.Black humans must legitimize themselves thus again once. The psychological and social effects S.14 of racism however, like among other things chance inequality, bad education and poverty, “incomprehensible-prove” too such IQ
Since their aunt died 1990 in Zurich, George Hug lead and its two brothers and sisters world-wide a fight against physician, those medical allowance with financial interests mix. “gradually”, Barbara Hug reports, well-known
Upper house of Parliament supports objectives that national campaign against racism
Eight months before popular vote has itself in Berne Swiss federal committee presented
Authorities of Pakistan have that on Monday Indian consulate general closed
Swiss federal committee to anti-racism law presented
Upper house of parliament endorses active participation that Switzerland at European youth campaign
UN human right commission has on for first time resolution as well as anti-semitism
Boy LDU does not want scientologists in rows
Since aunt died in Zurich George Hug lead and two brothers and sisters worldwide fight
Of members pc. Gallen have that Party exclusion Galler physician and opponent walter Fischbacher requests
Black humans must legitimize themselves thus again once
Headline Generation
Types of Headlines
• “Eye catcher”:‘Under God’ Under Fire
• Indicative:Pledge of Allegiance; Constitutionality
• Informative:U.S. Court Decides Pledge of Allegiance
Unconstitutional
After months of debate following the Sept. 11 terrorist hijackings, the Transportation Department has decided that airline pilots will not be allowed to have guns in the cockpits.
HMM HedgeForm headlines by selecting words from story, in order, allowing morphological variation
Humans were able to do this on all prose stories
After months of debate following the Sept. 11 terrorist hijackings, the Transportation Department has decided that airline pilots will not be allowed to have guns in the cockpits.
After months of debate following the Sept. 11 terrorist hijackings, the Transportation Department has decides that airline pilots will not be allowed to have guns in the cockpits.
Human-Generated Headlines
0%
10%
20%
30%
40%
50%
60%
1 2 3 4 5 6 7 8 9 10
Sentence Number
Hedge TrimmerForm headlines by removing constituents from a parse of the first sentence.
Kurdish guerilla forces moving with lightning speed poured into Kirkuk today immediately after Iraqi troops, fleeing relentless U.S. airstrikes, abandoned the hub of Iraq’s rich northern oil fields.
28 wordsS
NP VP
TimeNNP VP V PP Adv
S
NNP
NP
VP
VP
AP PPV NP
Hedge TrimmerForm headlines by removing constituents from a parse of the first sentence.
Kurdish guerilla forces moving with lightning speed poured into Kirkuk today immediately after Iraqi troops, fleeing relentless U.S. airstrikes, abandoned the hub of Iraq’s rich northern oil fields.
24 wordsS
NP VP
TimeNNP VP V PP Adv
S
NNP
NP
VP
VP
AP PPV NP
Hedge TrimmerForm headlines by removing constituents from a parse of the first sentence.
Kurdish guerilla forces moving with lightning speed poured into Kirkuk today immediately after Iraqi troops, fleeing relentless U.S. airstrikes, abandoned the hub of Iraq’s rich northern oil fields.
20 wordsS
NP VP
TimeNNP VP V PP Adv
S
NNP
NP
VP
VP
AP PPV NP
Hedge TrimmerForm headlines by removing constituents from a parse of the first sentence.
Kurdish guerilla forces moving with lightning speed poured into Kirkuk today immediately after Iraqi troops, fleeing relentless U.S. airstrikes, abandoned the hub of Iraq’s rich northern oil fields.
18 wordsS
NP VP
TimeNNP VP V PP Adv
S
NNP
NP
VP
VP
AP PPV NP
Hedge TrimmerForm headlines by removing constituents from a parse of the first sentence.
Kurdish guerilla forces moving with lightning speed poured into Kirkuk today immediately after Iraqi troops, fleeing relentless U.S. airstrikes, abandoned the hub of Iraq’s rich northern oil fields.
14 wordsS
NP VP
TimeNNP VP V PP Adv
S
NNP
NP
VP
VP
AP PPV NP
Hedge TrimmerForm headlines by removing constituents from a parse of the first sentence.
Kurdish guerilla forces moving with lightning speed poured into Kirkuk today immediately after Iraqi troops, fleeing relentless U.S. airstrikes, abandoned the hub of Iraq’s rich northern oil fields.
12 wordsS
NP VP
TimeNNP VP V PP Adv
S
NNP
NP
VP
VP
AP PPV NP
Human-Generated Headlines
Phenomenon
preambles
Sentence2.7%
Headline0.0%
conjoined S 4% 0.5%
conjoined VP 27% 3%
relative clauses 3.5% 0.3%
determiners 25% 3%
time expressions 24% 1.5%
trailing prepositional phrases
58% 52%
trailing SBARs 16% 8%
Named Entity Preservation• Syntactic structure alone is not sufficient for
deciding which constituents to remove• Examples:
– Original: According to local authorities the death toll is expected to reach 1,500 with 7000 wounded in Algeria’s earthquake. (18)
– without NEP: According to local authorities the death toll is expected to reach 1,500 with 7000 wounded in Algeria’s earthquake. (10)
– with NEP: According to local authorities the death toll is expected to reach 1,500 with 7000 wounded in Algeria’s earthquake. (10)
Intrinsic Evaluation: BLEU
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
1gram 2gram 3gram 4gram
BBN/UMD StatBBN/UMD Stat2BBN/UMD TrimBBN/UMD TopicISI GenISI Gen10ISI Gen15ISI Tran
BBN/UMD Trim
Red Scores
0
0.05
0.1
0.15
0.2
0.25
0.3
0.35
0.4
RED1Avg RED2Avg RED3Avg RED4Avg
BBN/UMD Stat
BBN/UMD Stat2
BBN/UMD Trim
BBN/UMD Topic
ISI Gen
ISI Gen10
ISI Gen15
ISI Tran
BBN/UMD Trim
Intrinsic Evaluation: RED
Making Translated Headlines
Systran: TranslateFirst Sentence
Hedge Trimmer
“Headline”
Document
Manual Intrinsic Evaluation
Surprise Language Summarization Scores
0
0.5
1
1.5
2
2.5
3
3.5
Q0 Q1 Q0 Q1 Q0 Q1 Q0 Q1
Subject 0 Subject 1 Subject 2 Average
HMM
UTD
Trimmer
Q0: Can you tell what this story is about?
Q1: Were you (was it) correct?
iCLEF Results
• Search effectiveness– First40: Fα = 0.473
– Trimmer: Fα = 0.379
• Search speed– First40: 16.75 seconds/doc– Trimmer: 12.35 seconds/doc– Significant with p<0.007
Topic Questionnaires
Q1: Were you familiar with this topic before the search?
Q2: Was it easy for you to guess what the document
was about based on the surrogate?
Q3: Was it easy to make relevance judgments?
Q4: Do you have confidence in your judgments?
First40 Trimmer
Question 1 2.09 1.97
Question 2 3.65 2.91 p<0.02 Question 3 3.75 3.28
Question 4 3.78 3.13 p<0.03
Focus: Query Formulation
Choose Document-Language
Terms
Query-DocumentMatching
GeneratePossible
Translations
Select Document-Language
Terms
Document
Author
Query
Choose Document-Language
Terms
MonolingualSearcher
Choose Query-Language
Terms
Cross-LanguageSearcher
2003 End-to-End Experiments
• 64 trials (8 participants)– Half with automatic query translation– Half with user-assisted query translation
• Spanish documents– Systran translations into English
• Experienced searchers– 6 of 8 were librarians, average age 33– 7 of 8 had little or no experience with MT– 8 of 8 reported poor or no Spanish skills
Examples from Parallel Text
Bilingual Term List
Sentence aligned Corpus
English Word te Spanish Word tgtranslation
Passage containing te Passage containing tgaligned with
English Text + Translation Lexicon
• Create a pool of candidate examples– Find possible synonyms w/round-trip translation– Select all translations with any “back translation”
• Find terms that characterize the pool– Rank non-stopwords by sentence-based tf*idf– Select top 10 terms as a query
• Choose one example of usage– Rank candidate pool sentences using the query– Select the top-ranked sentence
2002 ResultsF
α=
0.8
20 minutes per topic
2003 Results
0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
1 2 3 4 5 6 7 8 9
Topic
Automatic
User-Assisted
Fα
=0.
8
10 minutes per topic