Leveraging Grammatical Roles for Measuring Semantic Similarity Between Texts
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| Vydané v: | IEEE Access Ročník 9; s. 62972 - 62983 |
|---|---|
| Hlavní autori: | , , , , |
| Médium: | Journal Article |
| Jazyk: | Japanese |
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Institute of Electrical and Electronics Engineers (IEEE)
01.01.2021
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| ISSN: | 2169-3536 |
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| Author | Masaki Aono Md. Atabuzzaman M. Elius Ahmed Md Shajalal Masud Ibn Afjal |
|---|---|
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| SubjectTerms | Artificial intelligence Automatic Keyword Extraction from Textual Data Biology Combinatorics Computer science Context (archaeology) Economics Electrical engineering. Electronics. Nuclear engineering Embedding FOS: Languages and literature FOS: Mathematics FOS: Philosophy, ethics and religion Image (mathematics) Language Modeling Lexicographical order Linguistics Management Mathematics Natural Language Processing Paleontology Part-of-Speech Tagging Philosophy Physical Sciences Programming language Semantic Similarity Semantics (computer science) SemEval Sentence sentence structure Similarity (geometry) Statistical Machine Translation and Natural Language Processing Syntax-based Translation Models Task (project management) TK1-9971 Word (group theory) Word embedding Word Representation word semantics |
| Title | Leveraging Grammatical Roles for Measuring Semantic Similarity Between Texts |
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