Results 11 to 20 of about 597,067 (301)
Enhancing Aspect Term Extraction with Soft Prototypes [PDF]
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Aspect term extraction (ATE) aims to extract aspect terms from a review sentence that users have expressed opinions on. Existing studies mostly focus on designing neural sequence taggers to extract linguistic features from the token level. However, since the aspect terms and context words usually exhibit long-tail distributions, these taggers often ...
Zhuang Chen, Tieyun Qian
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Unsupervised Word and Dependency Path Embeddings for Aspect Term\n Extraction [PDF]
CoRR, 2016 IJCAI ...
Yichun Yin +5 more
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Bridge-Based Active Domain Adaptation for Aspect Term Extraction [PDF]
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), 2021 As a fine-grained task, the annotation cost of aspect term extraction is extremely high. Recent attempts alleviate this issue using domain adaptation that transfers common knowledge across domains. Since most aspect terms are domain-specific, they cannot be transferred directly. Existing methods solve this problem by associating aspect terms with pivot
Zhuang Chen, Tieyun Qian
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Aspect Term Extraction for Aspect Based Opinion Mining
International Journal of Innovative Technology and Exploring Engineering, 2019 Opinion Mining (OM) is also called as Sentiment Analysis (SA). Aspect Based Opinion Mining (ABOM) is also called as Aspect Based Sentiment Analysis (ABSA). In this paper, three new features are proposed to extract the aspect term for Aspect Based Sentiment Analysis (ABSA).
Mr. M. Yesu Babu +2 more
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Improving Aspect Term Extraction with Bidirectional Dependency Tree Representation [PDF]
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2018 Aspect term extraction is one of the important subtasks in aspect-based sentiment analysis. Previous studies have shown that using dependency tree structure representation is promising for this task. However, most dependency tree structures involve only one directional propagation on the dependency tree.
Huaishao Luo +4 more
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Constituency Lattice Encoding for Aspect Term Extraction
Proceedings of the 28th International Conference on Computational Linguistics, 2020 One of the remaining challenges for aspect term extraction in sentiment analysis resides in the extraction of phrase-level aspect terms, which is non-trivial to determine the boundaries of such terms. In this paper, we aim to address this issue by incorporating the span annotations of constituents of a sentence to leverage the syntactic information in ...
Yunyi Yang +4 more
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Joint Modeling Based on Multi-task Learning for Aspect Term Extraction and Sen-timent Classification [PDF]
Jisuanji kexue yu tansuo, 2023 Fine-grained aspect-based sentiment analysis involves aspect term extraction and aspect sentiment classi-fication. Most existing research methods address them in an independent fashion, which lack a mechanism to account for the relevant information ...
MENG Tiantian, HAN Hu, WU Yuanhang
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DLIREC: Aspect Term Extraction and Term Polarity Classification System [PDF]
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), 2014 This paper describes our system used in the Aspect Based Sentiment Analysis Task 4 at the SemEval-2014. Our system consists of two components to address two of the subtasks respectively: a Conditional Random Field (CRF) based classifier for Aspect Term Extraction (ATE) and a linear classifier for Aspect Term Polarity Classification (ATP).
Zhiqiang Toh, Meng Wan
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Unsupervised Aspect Term Extraction for Sentiment Analysis through Automatic Labeling
Proceedings of the 18th International Conference on Web Information Systems and Technologies, 2022 Danny Suarez Vargas +2 more
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Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023 Hasna Chouikhi +2 more
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