Quantum-inspired Language Model with Lindblad Master Equation and Interference Measurement for Sentiment Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3APL5MI47S" target="_blank" >RIV/00216208:11320/25:PL5MI47S - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200261674&partnerID=40&md5=a2bbde31d6e0c656639f56f2d9ffbeff" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200261674&partnerID=40&md5=a2bbde31d6e0c656639f56f2d9ffbeff</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Quantum-inspired Language Model with Lindblad Master Equation and Interference Measurement for Sentiment Analysis
Original language description
Quantum-inspired models have demonstrated superior performance in many downstream language tasks, such as question answering and sentiment analysis. However, recent models primarily focus on embedding and measurement operations, overlooking the significance of the quantum evolution process. In this work, we present a novel quantum-inspired neural network, LI-QiLM, which integrates the Lindblad Master Equation (LME) to model the evolution process and the interferometry to the measurement process, providing more physical meaning to strengthen the interpretability. We conduct comprehensive experiments on six sentiment analysis datasets. Compared to the traditional neural networks, transformer-based pre-trained models and quantum-inspired models, such as CICWE-QNN and ComplexQNN, the proposed method demonstrates superior performance in accuracy and F1-score on six commonly used datasets for sentiment analysis. Additional ablation tests verify the effectiveness of LME and interferometry. © 2024 Association for Computational Linguistics.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
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
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. Conf. North American Chapter Assoc. Comput. Linguist.: Hum. Lang. Technol., NAACL
ISBN
979-889176114-8
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
2112-2121
Publisher name
Association for Computational Linguistics (ACL)
Place of publication
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Event location
Mexico City
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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