Results 31 to 40 of about 4,141 (216)

Polish-ASTE: Aspect-Sentiment Triplet Extraction Datasets for Polish

International Conference on Language Resources and Evaluation
Aspect-Sentiment Triplet Extraction (ASTE) is one of the most challenging and complex tasks in sentiment analysis. It concerns the construction of triplets that contain an aspect, its associated sentiment polarity, and an opinion phrase that serves as a rationale for the assigned polarity. Despite the growing popularity of the task and the many machine
Lango, Marta, Naglik, Borys, Lango, Mateusz, Naglik, Iwo   +3 more
openaire   +3 more sources

Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction [PDF]

International Conference on Information and Knowledge Management
Cross-domain Aspect Sentiment Triplet Extraction (ASTE) aims to extract fine-grained sentiment elements from target domain sentences by leveraging the knowledge acquired from the source domain.
Kun Peng, Lei Jiang, Qian Li, Haoran Li, Xiaoyan Yu, Li Sun, Shuo Sun, Yanxian Bi, Hao Peng   +8 more
semanticscholar   +3 more sources

Syntactic-Enhanced Multi-Task Learning Model for Aspect Sentiment Triplet Extraction [PDF]

Data Science and Engineering
Aspect sentiment triplet extraction (ASTE), which aims to extract aspect terms, opinion terms, and sentiment polarity from textual comments, is a crucial task in aspect-based sentiment analysis.
Jiaxing Shang, Yuxuan Zhang, Linyang Zhong, Ruiyuan Li   +3 more
doaj   +2 more sources

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
openaire   +3 more sources

A dual relation-encoder network for aspect sentiment triplet extraction

Neurocomputing
Aspect sentiment triplet extraction (ASTE) combines several subtasks of aspect-based sentiment analysis, which aims to extract aspect terms, opinion terms, and their corresponding sentiment polarities in a sentence. The interaction relations between words have strong cueing information.
Tian Xia, Xia Sun, Yidong Yang, Yunfei Long, Richard Sutcliffe   +4 more
openaire   +4 more sources

Domain-Expanded ASTE: Rethinking Generalization in Aspect Sentiment Triplet Extraction

Proceedings of the Second Workshop on Social Influence in Conversations (SICon 2024)
Aspect Sentiment Triplet Extraction (ASTE) is a challenging task in sentiment analysis, aiming to provide fine-grained insights into human sentiments. However, existing benchmarks are limited to two domains and do not evaluate model performance on unseen domains, raising concerns about the generalization of proposed methods.
Chia, Yew Ken, Chen, Hui, Han, Wei, Chen, Guizhen, Aljunied, Sharifah Mahani, Poria, Soujanya, Bing, Lidong   +6 more
openaire   +3 more sources

Aspect-Sentiment-Multiple-Opinion Triplet Extraction [PDF]

, 2021
NLPCC ...
Wang, Fang, Li, Yuncong, Zhong, Sheng-hua, Yin, Cunxiang, He, Yancheng   +4 more
openaire   +2 more sources

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, Bonan Zhao, Tadeg Quillien, Christopher G. Lucas   +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, Michael Levin, Fernando E. Rosas, Karl Friston   +3 more
wiley   +1 more source

COM-MRC: A COntext-Masked Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction

Conference on Empirical Methods in Natural Language Processing, 2022
Aspect Sentiment Triplet Extraction (ASTE) aims to extract sentiment triplets from sentences, which was recently formalized as an effective machine reading comprehension (MRC) based framework.
Zepeng Zhai, Hao Chen, Fangxiang Feng, Ruifan Li, Xiaojie Wang   +4 more
semanticscholar   +1 more source