Unified Neural Lexical Analysis Via Two-Stage Span Tagging

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3ANI54NRVE" target="_blank" >RIV/00216208:11320/26:NI54NRVE - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1049/cit2.70015" target="_blank" >http://dx.doi.org/10.1049/cit2.70015</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1049/cit2.70015" target="_blank" >10.1049/cit2.70015</a>

Result language

angličtina

Original language name

Unified Neural Lexical Analysis Via Two-Stage Span Tagging

Original language description

Lexical analysis is a fundamental task in natural language processing, which involves several subtasks, such as word segmentation (WS), part-of-speech (POS) tagging, and named entity recognition (NER). Recent works have shown that taking advantage of relatedness between these subtasks can be beneficial. This paper proposes a unified neural framework to address these subtasks simultaneously. Apart from the sequence tagging paradigm, the proposed method tackles the multitask lexical analysis via two-stage sequence span classification. Firstly, the model detects the word and named entity boundaries by multi-label classification over character spans in a sentence. Then, the authors assign POS labels and entity labels for words and named entities by multi-class classification, respectively. Furthermore, a Gated Task Transformation (GTT) is proposed to encourage the model to share valuable features between tasks. The performance of the proposed model was evaluated on Chinese and Thai public datasets, demonstrating state-of-the-art results. © 2025 The Author(s). CAAI Transactions on Intelligence Technology published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology and Chongqing University of Technology.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

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Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

CAAI Transactions on Intelligence Technology

ISSN

2468-6557

e-ISSN

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Volume of the periodical

10

Issue of the periodical within the volume

4

Country of publishing house

US - UNITED STATES

Number of pages

14

Pages from-to

1254-1267

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-105004463858