Results 91 to 100 of about 15,528 (226)
Multi-prompt Learning Based Aspect-Category Sentiment Analysis [PDF]
Jisuanji kexue yu tansuoAspect-category sentiment analysis (ACSA) aims to discern aspect categories in review texts and simultaneously predict their sentiment polarity. It is an important fine-grained subtask in the field of sentiment analysis.
LIU Jinhang, LI Lin, WU Renwei, LIU Jia
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Fast Fine‐Tuning Large Language Models for Aspect‐Based Sentiment Analysis
Electronics Letters, Volume 61, Issue 1, January/December 2025.The method proposed in this study aims to reduce the execution time required for fine‐tuning large language models in aspect‐based sentiment analysis. To achieve efficient fine‐tuning, the large‐language model parameter tuning for new data is accelerated through rank decomposition.
Chaelyn Lee, Jaesung Lee
wiley +1 more source
Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions - DEW '09, 2009 In this paper we describe the SemEval-2010 Cross-Lingual Lexical Substitution task, which is based on the English Lexical Substitution task run at SemEval-2007. In the English version of the task, annotators and systems had to find an alternative substitute word or phrase for a target word in context.
Ravi Sinha +2 more
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Query-Based Keyphrase Extraction from Long Documents
Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2022 Transformer-based architectures in natural language processing force input size limits that can be problematic when long documents need to be processed. This paper overcomes this issue for keyphrase extraction by chunking the long documents while keeping
Martin Dočekal, Pavel Smrž
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Drug–drug interaction extraction‐based system: An natural language processing approach
Expert Systems, Volume 42, Issue 1, January 2025.Abstract Poly‐medicated patients, especially those over 65, have increased. Multiple drug use and inappropriate prescribing increase drug–drug interactions, adverse drug reactions, morbidity, and mortality. This issue was addressed with recommendation systems.
José Machado +3 more
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SemEval 2014 Task 5 - L2 Writing Assistant [PDF]
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), 2014 We present a new cross-lingual task for SemEval concerning the translation of L1 fragments in an L2 context. The task is at the boundary of Cross-Lingual Word Sense Disambiguation and Machine Translation. It finds its application in the field of computer-assisted translation, particularly in the context of second language learning.
Gompel, M. van +4 more
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archer at SemEval-2021 Task 1: Contextualising Lexical Complexity [PDF]
Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021), 2021 Evaluating the complexity of a target word in a sentential context is the aim of the Lexical Complexity Prediction task at SemEval-2021. This paper presents the system created to assess single words lexical complexity, combining linguistic and psycholinguistic variables in a set of experiments involving random forest and XGboost regressors.
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Proceedings of the International Florida Artificial Intelligence Research Society ConferenceIn recent years, large-scale language models (LLMs) have nearly become the dominant force in almost every natural language processing (NLP) task. The primary research approach has focused on selecting the most appropriate language model for specific NLP ...
Linrui Zhang +2 more
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Modern Approaches to Aspect-Based Sentiment Analysis
Труды Института системного программирования РАН, 2018 The paper presents a survey of methods solving the actual task of aspect-based sentiment analysis. Solutions for this task were proposed at multiple natural language processing conferences.
I. . Andrianov +2 more
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Sarcasm Detection in Sentiment Analysis Using Recurrent Neural Networks
International Journal of Distributed Sensor Networks, Volume 2025, Issue 1, 2025.In recent years, online opinionated textual data volume has surged, necessitating automated analysis to extract valuable insights. Data mining and sentiment analysis have become essential for analysing this type of text. Sentiment analysis is a text classification problem associated with many challenges, including better data preprocessing and sarcasm ...
Maneeha Rani +7 more
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