recognizing partial textual entailment

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Recognizing Partial Textual Entailment

Torsten Zesch Iryna GurevychUbiquitous Knowledge Processing Lab

Technische Universität Darmstadt

Omer Levy Ido DaganNatural Language Processing Lab

Bar-Ilan University

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Textual Entailment

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T: muscles move bones

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T: muscles move bones

H: muscles generate movement

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T: muscles move bones

H: muscles generate movement

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T: muscles move bones

H: the muscles’ main job is to move bones

?

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T: muscles move bones

H: the muscles’ main job is to move bones

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Complete Textual Entailment

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Complete Textual Entailment

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Complete Textual Entailment. Partial .

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Complete Textual Entailment. Partial .

(Nielsen et al, 2009)

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T: muscles move bones

H: the muscles’ main job is to move bones

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T: muscles move bones

(main job of muscles) (muscles move) (bones are moved) H: the muscles’ main job is to move bones

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T: muscles move bones

(main job of muscles) (muscles move) (bones are moved) H: the muscles’ main job is to move bones

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T: muscles move bones

(main job of muscles) (muscles move) (bones are moved) H: the muscles’ main job is to move bones

Student Response Analysis

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T: muscles move bones

(main job of muscles) (muscles move) (bones are moved) H: the muscles’ main job is to move bones

Student Response Analysis

Summarization

Information Extraction

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T: muscles move bones

(main job of muscles) (muscles move) (bones are moved) H: the muscles’ main job is to move bones

Facets

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T: muscles move bones

(main job of muscles) (muscles move) (bones are moved) H: the muscles’ main job is to move bones (main job, muscles) (muscles, move) (move, bones)

Facets

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T: muscles move bones

(main job of muscles) (muscles move) (bones are moved) H: the muscles’ main job is to move bones (main job, muscles) (muscles, move) (move, bones)

Facets

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T: muscles move bones

(main job of muscles) (muscles move) (bones are moved) H: the muscles’ main job is to move bones (main job, muscles) (muscles, move) (move, bones)

Facets

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Facet: a pair of terms and their implied semantic relation.

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Facet: a pair of terms and their implied semantic relation.

(move, bones)

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Facet: a pair of terms and their implied semantic relation.

(move, bones)

… is to move bones

theme

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Recognizing Faceted Entailment

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T: muscles move bones

H: the muscles’ main job is to move bones

Recognizing Faceted Entailment

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T: muscles move bones

H: the muscles’ main job is to move bones

Recognizing Faceted Entailment

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T: muscles move bones

H: the muscles’ main job is to move bones

Recognizing Faceted Entailment

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T: muscles move bones

H: the muscles’ main job is to move bones

Recognizing Faceted Entailment

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What did we do?

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Approach: Leverage Existing Methods

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Approach: Leverage Existing Methods

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Exact Match P: 96%, R: 30%

penicillin cures pneumonia (penicillin, cure) Lexical Inference (penicillin, cure) pneumonia is treated by penicillin

Lexical-Syntactic Inference

Approach: Leverage Existing Methods

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Exact Match P: 96%, R: 30%

penicillin cures pneumonia (penicillin, cure) Lexical Inference (penicillin, cure) pneumonia is treated by penicillin

Lexical-Syntactic Inference

Approach: Leverage Existing Methods

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Exact Matchpenicillin cures pneumonia (penicillin, cure) Lexical Inference WordNet

pneumonia is treated by penicillin (penicillin, cure) Lexical-Syntactic Inference

Approach: Leverage Existing Methods

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Exact Matchpenicillin cures pneumonia (penicillin, cure) Lexical Inference WordNet

pneumonia is treated by penicillin (penicillin, cure) Lexical-Syntactic Inference

Approach: Leverage Existing Methods

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Exact Matchpenicillin cures pneumonia (penicillin, cure) Lexical Inferencepneumonia is treated by penicillin (penicillin, cure) Lexical-Syntactic Inference

Approach: Leverage Existing Methods

penicillin cures pneumonia

pneumonia is treated by penicillin

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Bar-Ilan University Textual Entailment Engine

(Stern and Dagan, 2011)

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BIUTEE

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BIUTEE

pneumonia

cures

penicillin

T H

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BIUTEE

pneumonia

cures

penicillin

penicillin

treated

pneumonia is by

T H

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BIUTEE

pneumonia

cures

penicillin

penicillin

treated

pneumonia is by

T H

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pneumonia

cures

penicillin

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pneumonia

cures

penicillin

pneumonia

treats

penicillin

cure treat(lexical)

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pneumonia

cures

penicillin

penicillin

treated

pneumonia is by

pneumonia

treats

penicillin

cure treat(lexical)

active passive(syntactic)

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Facets to Dependencies

pneumonia is by

treated

penicillin

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Facets to Dependencies

penicillin

pneumonia is by

treated

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Baseline

BaseLex

BaseSyn

Majority

Decision Mechanisms

Exact Match

Exact Match OR Lexical Inference

Exact Match OR Syntactic Inference

Lexical Inference

Exact Match OR AND

Syntactic Inference

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Baseline

BaseLex

BaseSyn

Majority

Decision Mechanisms

Exact Match

Exact Match OR Lexical Inference

Exact Match OR Syntactic Inference

Lexical Inference

Exact Match OR AND

Syntactic Inference

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Baseline

BaseLex

BaseSyn

Majority

Decision Mechanisms

Exact Match

Exact Match OR WordNet

Exact Match OR BIUTEE

Lexical Inference

Exact Match OR AND

Syntactic Inference

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Baseline

BaseLex

BaseSyn

Majority

Decision Mechanisms

Exact Match

Exact Match OR WordNet

Exact Match OR BIUTEE

WordNet

Exact Match OR AND

BIUTEE

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SemEval 2013 Task 7

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SciEntsBank (Djikovska et al, 2012)

15 Domains

5,106 Student Responses

16,263 Facets

Dataset

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SciEntsBank (Djikovska et al, 2012)

15 Domains

5,106 Student Responses

16,263 Facets

Dataset

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SciEntsBank (Djikovska et al, 2012)

15 Domains

5,106 Student Responses

16,263 Facets

Dataset

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SciEntsBank (Djikovska et al, 2012)

15 Domains

13,145 Train Facets

16,263 Test Facets

Dataset

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SciEntsBank (Djikovska et al, 2012)

15 Domains

13,145 Train Facets

16,263 Test Facets

Dataset

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Unseen Answers 9%

Unseen Questions 12%

Unseen Domains 79%

Scenarios

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Unseen Answers 9%

Unseen Questions 12%

Unseen Domains 79%

Scenarios

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Unseen Answers 9%

Unseen Questions 12%

Unseen Domains 79%

Scenarios

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Unseen Answers 9%

Unseen Questions 12%

Unseen Domains 79%

Scenarios

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Results

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Performance (Weighted F1)

Unseen Answers Unseen Questions Unseen Domains0

0.2

0.4

0.6

0.8

1

BaselineBaseLexBaseSynMajority

69

Summary

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Problem: Need fine-grained entailment

Solution: Partial Textual Entailment

Approach: Leverage existing methods

Results: Significant improvement

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Problem: Need fine-grained entailment

Solution: Partial Textual Entailment

Approach: Leverage existing methods

Results: Significant improvement

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Problem: Need fine-grained entailment

Solution: Partial Textual Entailment

Approach: Leverage existing methods

Results: Significant improvement

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Problem: Need fine-grained entailment

Solution: Partial Textual Entailment

Approach: Leverage existing methods

Results: Significant improvement

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Partial Textual Entailment is interesting

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Partial Textual Entailment is useful

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Partial Textual Entailment is practical

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Partial Textual Entailment is interesting

80

Questions?