Leveraging Grammatical Roles for Measuring Semantic Similarity Between Texts

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Vydáno v:IEEE Access Ročník 9; s. 62972 - 62983
Hlavní autoři: Md. Atabuzzaman, Md Shajalal, M. Elius Ahmed, Masud Ibn Afjal, Masaki Aono
Médium: Journal Article
Jazyk:japonština
Vydáno: Institute of Electrical and Electronics Engineers (IEEE) 01.01.2021
Témata:
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
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ISSN:2169-3536
DOI:10.60692/fqyr0-6tp59