Adaptive cross-contextual word embedding for word polysemy with unsupervised topic modeling

journal contribution

posted on 2024-06-04, 06:38 authored by S Li, R Pan, H Luo, Xiao LiuXiao Liu, G Zhao

Adaptive cross-contextual word embedding for word polysemy with unsupervised topic modeling

History

Journal

Knowledge-Based Systems

Volume

218

Article number

ARTN 106827

Pagination

1 - 14

Location

Amsterdam, The Netherlands

Publisher DOI

https://doi.org/10.1016/j.knosys.2021.106827

Open access

Yes

Link to full text

https://doi.org/10.1016/j.knosys.2021.106827

ISSN

0950-7051

eISSN

1872-7409

Language

English

Publication classification

C1 Refereed article in a scholarly journal

Publisher

ELSEVIER

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Categories

No categories selected

Keywords

Science & Technology Technology Computer Science, Artificial Intelligence Computer Science Word polysemy Representation learning Adaptive word embeddings Tailored word embedding Topic modeling Semantic learning SENSE EMBEDDINGS 4605 Data management and data science

Licence

All Rights Reserved

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