A linguistics-based approach to refining automatic intent detection in conversational agent design
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F26%3A4Z6CTRHD" target="_blank" >RIV/00216208:11320/26:4Z6CTRHD - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204348144&doi=10.1016%2fj.ins.2024.121493&partnerID=40&md5=220b426249cb41bdf3eeeb76441a3e72" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204348144&doi=10.1016%2fj.ins.2024.121493&partnerID=40&md5=220b426249cb41bdf3eeeb76441a3e72</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ins.2024.121493" target="_blank" >10.1016/j.ins.2024.121493</a>
Alternative languages
Result language
angličtina
Original language name
A linguistics-based approach to refining automatic intent detection in conversational agent design
Original language description
In this paper, we propose Automatic Intent Detector (AID), a framework for automatic intent detection to facilitate the creation of a conversational agent. AID follows an eight-step process incorporating best practices from the current literature and introducing innovative approaches in certain steps. The most notable innovation within AID is the automatic labeling of clusters, which is based on detailed and sophisticated rules derived from linguistics. These rules focus on morphosyntactic analysis, while also taking into account an aspect of semantic role theory. Furthermore, as for the overall validation of the results obtained, it provides an approach based on the concepts of semantic coherence, variability, and label appropriateness. After describing AID at the technical level, we illustrate the experiments we conducted both on a dataset widely used as benchmark in the literature and on a real corporate dataset. Finally, we present a critical discussion on the results obtained. © 2024 The Author(s)
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - 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)
Result continuities
Project
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Continuities
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Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Information Sciences
ISSN
0020-0255
e-ISSN
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Volume of the periodical
689
Issue of the periodical within the volume
2025
Country of publishing house
US - UNITED STATES
Number of pages
22
Pages from-to
1-22
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85204348144