- Title
- From lexical entailment to recognizing textual entailment using linguistic resources
- Creator
- Ofoghi, Bahadorreza; Yearwood, John
- Date
- 2009
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/35975
- Identifier
- vital:3572
- Identifier
- ISBN:1834-7037
- Abstract
- In this paper, we introduce our Recognizing Textual Entailment (RTE) system developed on the basis of Lexical Entailment between two text excerpts, namely the hypothesis and the text. To extract atomic parts of hypotheses and texts, we carry out syntactic parsing on the sentences. We then utilize WordNet and FrameNet lexical resources for estimating lexical coverage of the text on the hypothesis. We report the results of our RTE runs on the Text Analysis Conference RTE datasets. Using a failure analysis process, we also show that the main difficulty of our RTE system relates to the underlying difficulty of syntactic analysis of sentences.
- Publisher
- Sydney, New South Wales : ALTA
- Relation
- Paper presented at Australasian Language Technology Association Workshop 2009, Sydney, New South Wales : 3rd-4th December 2009 p. 119–123
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Full Text
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