Head-driven statistical models for natural language parsing
Head-driven statistical models for natural language parsing
An unsupervised approach to recognizing discourse relations
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Using predicate-argument structures for information extraction
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
The Proposition Bank: An Annotated Corpus of Semantic Roles
Computational Linguistics
Robust textual inference via graph matching
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
A probabilistic setting and lexical cooccurrence model for textual entailment
EMSEE '05 Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
It's a contradiction---no, it's not: a case study using functional relations
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
A discourse commitment-based framework for recognizing textual entailment
RTE '07 Proceedings of the ACL-PASCAL Workshop on Textual Entailment and Paraphrasing
Scalable discovery of contradictions on the web
Proceedings of the 19th international conference on World wide web
Proceedings of the 4th workshop on Information credibility
Using topic themes for multi-document summarization
ACM Transactions on Information Systems (TOIS)
Contradiction-focused qualitative evaluation of textual entailment
NeSp-NLP '10 Proceedings of the Workshop on Negation and Speculation in Natural Language Processing
A survey of paraphrasing and textual entailment methods
Journal of Artificial Intelligence Research
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Enriching ontologies by learned negation: or how to teach ontologies vegetarianism
ESWC'11 Proceedings of the 8th extended semantic web conference on The semanic web: research and applications - Volume Part II
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
Survey on mining subjective data on the web
Data Mining and Knowledge Discovery
How to answer yes/no spatial questions using qualitative reasoning?
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part II
Modality and negation: An introduction to the special issue
Computational Linguistics
Validating Contradiction in Texts Using Online Co-Mention Pattern Checking
ACM Transactions on Asian Language Information Processing (TALIP) - Special Issue on RITE
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Polarity inducing latent semantic analysis
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Hypothesis Generation and Testing in Event Profiling for Digital Forensic Investigations
International Journal of Digital Crime and Forensics
A scalable approach for Contradiction Detection driven by Opinion mining
Proceedings of International Conference on Information Integration and Web-based Applications & Services
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This paper describes a framework for recognizing contradictions between multiple text sources by relying on three forms of linguistic information: (a) negation; (b) antonymy; and (c) semantic and pragmatic information associated with the discourse relations. Two views of contradictions are considered, in which a novel method of recognizing contrast and of finding antonymies are described. Contradictions are used for informing fusion operators in question answering. Our experiments show promising results for the detection of contradictions.