Embedding WordNet knowledge for textual entailment
In this paper, we study how we can improve a deep learning approach to textual entailment by incorporating lexical entailment relations from WordNet. Our idea is to embed the lexical entailment knowledge contained in WordNet in specially-learned word vectors, which we call “entailment vectors.” We p...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2018
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/4280 https://ink.library.smu.edu.sg/context/sis_research/article/5283/viewcontent/Embedding_WordNet_2018_pv.pdf |
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| Institution: | Singapore Management University |
| Language: | English |