Leveraging Grammatical Roles for Measuring Semantic Similarity Between Texts

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Veröffentlicht in:	IEEE Access Jg. 9; S. 62972 - 62983
Hauptverfasser:	Md. Atabuzzaman, Md Shajalal, M. Elius Ahmed, Masud Ibn Afjal, Masaki Aono
Format:	Journal Article
Sprache:	Japanisch
Veröffentlicht:	Institute of Electrical and Electronics Engineers (IEEE) 01.01.2021
Schlagworte:	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
ISSN:	2169-3536
Online-Zugang:	Volltext
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