TAILIEUCHUNG - Báo cáo khoa học: "Weakly Supervised Learning of Presupposition Relations between Verbs"

Presupposition relations between verbs are not very well covered in existing lexical semantic resources. We propose a weakly supervised algorithm for learning presupposition relations between verbs that distinguishes five semantic relations: presupposition, entailment, temporal inclusion, antonymy and other/no relation. We start with a number of seed verb pairs selected manually for each semantic relation and classify unseen verb pairs. Our algorithm achieves an overall accuracy of 36% for type-based classification. . | Weakly Supervised Learning of Presupposition Relations between Verbs Galina Tremper Department of Computational Linguistics Heidelberg University Germany tremper@ Abstract Presupposition relations between verbs are not very well covered in existing lexical semantic resources. We propose a weakly supervised algorithm for learning presupposition relations between verbs that distinguishes five semantic relations presupposition entailment temporal inclusion antonymy and other no relation. We start with a number of seed verb pairs selected manually for each semantic relation and classify unseen verb pairs. Our algorithm achieves an overall accuracy of 36 for type-based classification. 1 Introduction A main characteristics of natural language is that significant portions of content conveyed in a message may not be overtly realized. This is the case for presuppositions the utterance Columbus didn t manage to reach India. presupposes that Columbus had tried to reach India. This presupposition does not need to be stated but is implicitly understood. Determining the presuppositions of events reported in texts can be exploited to improve the quality of many natural language processing applications such as information extraction text understanding text summarization question-answering or machine translation. The phenomenon of presupposition has been throughly investigated by philosophers and linguists . Stalnaker 1974 van der Sandt 1992 . There are only few attempts for practical implementations of presupposition in computational linguistics . Bos 2003 . Especially presupposition is understudied in the field of corpus-based learning of semantic relations. Machine learning methods have been previously applied to determine semantic relations such as is-a and part-of also succession reaction and production Pantel and Pennacchiotti 2006 . Chklovski and Pantel 2004 explored classification of fine-grained verb semantic relations such as similarity .

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