Automatic labeling of semantic roles
Computational Linguistics
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Discriminative training of a neural network statistical parser
ACL '04 Proceedings of the 42nd Annual Meeting on Association for Computational Linguistics
The PASCAL recognising textual entailment challenge
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Effectively using syntax for recognizing false entailment
HLT-NAACL '06 Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics
Identifying semantic equivalence for multi-document summarisation
Artificial Intelligence Review
Towards agile and test-driven development in NLP applications
SETQA-NLP '09 Proceedings of the Workshop on Software Engineering, Testing, and Quality Assurance for Natural Language Processing
Recognizing entailment in intelligent tutoring systems*
Natural Language Engineering
Assessing the impact of frame semantics on textual entailment
Natural Language Engineering
A machine learning approach to textual entailment recognition
Natural Language Engineering
Classification of semantic relations by humans and machines
EMSEE '05 Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment
Definition and analysis of intermediate entailment levels
EMSEE '05 Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment
The role of sentence structure in recognizing textual entailment
RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
Using hypernymy acquisition to tackle (part of) textual entailment
TextInfer '09 Proceedings of the 2009 Workshop on Applied Textual Inference
SyMSS: A syntax-based measure for short-text semantic similarity
Data & Knowledge Engineering
Learning textual entailment on a distance feature space
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Partial predicate argument structure matching for entailment determination
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Textual entailment recognition using a linguistically–motivated decision tree classifier
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Recognizing textual entailment via atomic propositions
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Specialized entailment engines: approaching linguistic aspects of textual entailment
NLDB'09 Proceedings of the 14th international conference on Applications of Natural Language to Information Systems
A syntactic textual entailment system based on dependency parser
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
Paraphrase substitution for recognizing textual entailment
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
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We describe our submission to the PASCAL Recognizing Textual Entailment Challenge, which attempts to isolate the set of Text-Hypothesis pairs whose categorization can be accurately predicted based solely on syntactic cues. Two human annotators examined each pair, showing that a surprisingly large proportion of the data – 34% of the test items – can be handled with syntax alone, while adding information from a general-purpose thesaurus increases this to 48%.