TNT-KID: Transformer-based neural tagger for keyword identification

With growing amounts of available textual data, development of algorithms capable of automatic analysis, categorization, and summarization of these data has become a necessity. In this research, we present a novel algorithm for keyword identification, that is, an extraction of one or multiword phras...

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Bibliographic Details
Published in:	Natural language engineering Vol. 28; no. 4; pp. 409 - 448
Main Authors:	Martinc, Matej, Škrlj, Blaž, Pollak, Senja
Format:	Journal Article
Language:	English
Published:	Cambridge, UK Cambridge University Press 01.07.2022
Subjects:	Ablation Algorithms Data Error analysis Extraction Identification Information retrieval Keywords Language modeling Pretraining Summarization Tagging (Computational linguistics) Workflow Transfer learning Transformer architecture Keyword extraction
ISSN:	1351-3249, 1469-8110
Online Access:	Get full text
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