A Probabilistic Lexical Approach to Textual Entailment
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Summary
This paper describes first a general generative probabilistic setting for textual entailment and then focuses on the sub-task of recognizing whether the lexical concepts present in the hypothesis are entailed from the text.
- Type
- article
- Published
- 2005-07-30
- Cited by
- 9
- References
- 3
- OpenAlex
- https://openalex.org/W56400885
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:7743557
Keywords
Textual entailment, Natural language processing, Logical consequence, Computer science, Artificial intelligence
References
Cited by
- テキスト含意認識に有効な意味類似度変換及びその獲得法;テキスト含意認識に有効な意味類似度変換及びその獲得法;Jointly Learning Similarity Transformations for Textual Entailment
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- Hypothesis Only Baselines in Natural Language Inference
- Siamese Networks for Inference in Malayalam Language Texts
- Exploring question generation in medical intelligent system using entailment
- Orphan Entity Allocation Using Entity Chunking, Context Mining, and Semantic Networks for CV-Parsing
- Survey in Textual Entailment Swapnil Ghuge
- Scholarship, Research, and Creative Work at Bryn Mawr College Scholarship, Research, and Creative Work at Bryn Mawr College
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