C4.5: programs for machine learning
C4.5: programs for machine learning
Algorithms on strings, trees, and sequences: computer science and computational biology
Algorithms on strings, trees, and sequences: computer science and computational biology
DIRT @SBT@discovery of inference rules from text
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Learning to paraphrase: an unsupervised approach using multiple-sequence alignment
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
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
Improving software documentation using textual entailment
ACM SIGSOFT Software Engineering Notes
Identifying semantic equivalence for multi-document summarisation
Artificial Intelligence Review
Evaluating the inferential utility of lexical-semantic resources
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Classification of semantic relations by humans and machines
EMSEE '05 Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment
The distributional similarity of sub-parses
EMSEE '05 Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment
Experiments of UNED at the third recognising textual entailment challenge
RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
Using sentence semantic similarity based on WordNet in recognizing textual entailment
IBERAMIA'10 Proceedings of the 12th Ibero-American conference on Advances in artificial intelligence
SyMSS: A syntax-based measure for short-text semantic similarity
Data & Knowledge Engineering
Combining contextual and structural information for supersense tagging of chinese unknown words
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Dependency parsing schemata and mildly non-projective dependency parsing
Computational Linguistics
Textual entailment beyond semantic similarity information
MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
Using bleu-like algorithms for the automatic recognition of entailment
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
Combining lexical resources with tree edit distance for recognizing textual entailment
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
Recognising textual entailment with robust logical inference
MLCW'05 Proceedings of the First international conference on Machine Learning Challenges: evaluating Predictive Uncertainty Visual Object Classification, and Recognizing Textual Entailment
A syntactic textual entailment system based on dependency parser
CICLing'10 Proceedings of the 11th international conference on Computational Linguistics and Intelligent Text Processing
The effect of entity recognition on answer validation
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
Towards entailment-based question answering: ITC-irst at CLEF 2006
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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The Recognizing Textual Entailment System shown here is based on the use of a broad-coverage parser to extract dependency relationships; in addition, WordNet relations are used to recognize entailment at the lexical level. The work investigates whether the mapping of dependency trees from text and hypothesis give better evidence of entailment than the matching of plain text alone. While the use of WordNet seems to improve system's performance, the notion of mapping between trees here explored (inclusion) shows no improvement, suggesting that other notions of tree mappings should be explored such as tree edit distances or tree alignment distances.