Results 21 to 30 of about 2,214 (198)
A Robustly Optimized BMRC for Aspect Sentiment Triplet Extraction [PDF]
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022 Shu Liu, Kaiwen Li, Zuhe Li
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Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 Aspect sentiment triplet extraction (ASTE), which aims to identify aspects from review sentences along with their corresponding opinion expressions and sentiments, is an emerging task in fine-grained opinion mining. Since ASTE consists of multiple subtasks, including opinion entity extraction, relation detection, and sentiment classification, it is ...
Shaowei Chen +3 more
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ASTE-Transformer: Modelling Dependencies in Aspect-Sentiment Triplet Extraction [PDF]
Findings of the Association for Computational Linguistics: EMNLP 2024Aspect-Sentiment Triplet Extraction (ASTE) is a recently proposed task of aspect-based sentiment analysis that consists in extracting (aspect phrase, opinion phrase, sentiment polarity) triples from a given sentence. Recent state-of-the-art methods approach this task by first extracting all possible text spans from a given text, then filtering the ...
Iwo Naglik, Mateusz Lango
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DESS: DeBERTa Enhanced Syntactic-Semantic Aspect Sentiment Triplet Extraction [PDF]
Fine-grained sentiment analysis faces ongoing challenges in Aspect Sentiment Triple Extraction (ASTE), particularly in accurately capturing the relationships between aspects, opinions, and sentiment polarities. While researchers have made progress using BERT and Graph Neural Networks, the full potential of advanced language models in understanding ...
Vishal Thenuwara, Nisansa de Silva
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Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction [PDF]
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023 Yice Zhang +5 more
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Aspect Sentiment Triplet Extraction Using Reinforcement Learning [PDF]
Proceedings of the 30th ACM International Conference on Information & Knowledge Management, 2021 CIKM ...
Jian, Samson Yu Bai +3 more
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Learning Cooperative Interactions for Multi-Overlap Aspect Sentiment Triplet Extraction [PDF]
Findings of the Association for Computational Linguistics: EMNLP 2022, 2022 Shiman Zhao, Wei Chen, Tengjiao Wang
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A Span-level Bidirectional Network for Aspect Sentiment Triplet Extraction [PDF]
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022 Aspect Sentiment Triplet Extraction (ASTE) is a new fine-grained sentiment analysis task that aims to extract triplets of aspect terms, sentiments, and opinion terms from review sentences. Recently, span-level models achieve gratifying results on ASTE task by taking advantage of the predictions of all possible spans.
Yuqi Chen +3 more
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Local Search and the Evolution of World Models
Topics in Cognitive Science, EarlyView., 2023 Abstract An open question regarding how people develop their models of the world is how new candidates are generated for consideration out of infinitely many possibilities. We discuss the role that evolutionary mechanisms play in this process. Specifically, we argue that when it comes to developing a global world model, innovation is necessarily ...
Neil R. Bramley +3 more
wiley +1 more source
Nested Selves: Self‐Organization and Shared Markov Blankets in Prenatal Development in Humans
Topics in Cognitive Science, EarlyView., 2023 Abstract The immune system is a central component of organismic function in humans. This paper addresses self‐organization of biological systems in relation to—and nested within—other biological systems in pregnancy. Pregnancy constitutes a fundamental state for human embodiment and a key step in the evolution and conservation of our species. While not
Anna Ciaunica +3 more
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