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Aspect term extraction based on word embedding [PDF]
Труды Института системного программирования РАН, 2018 There are many sites in the Internet that allow users to share their opinions and write reviews about all kinds of goods and services. These views may be useful not only for other users, but also for companies which want to track their own reputation and
D. O. Mashkin, E. V. Kotelnikov
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Aspect Term Extraction Based on MFE-CRF [PDF]
Information, 2018 This paper is focused on aspect term extraction in aspect-based sentiment analysis (ABSA), which is one of the hot spots in natural language processing (NLP).
Yanmin Xiang, Hongye He, Jin Zheng
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App2Check @ ATE_ABSITA 2020: Aspect Term Extraction and Aspect-based Sentiment Analysis [PDF]
, 2020 In this paper we describe and present the results of the system we specifically developed and submitted for our participation to the ATE_ABSITA 2020 evaluation campaign on the Aspect Term Extraction (ATE), Aspect-based Sentiment Analysis (ABSA), and Sentiment Analysis (SA) tasks.
Emanuele Di Rosa, Alberto Durante
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Aspect term extraction via information-augmented neural network
Complex & Intelligent Systems, 2022 Aspect term extraction (ATE) aims at identifying the aspect terms that are expressed in a sentence. Recently, Seq2Seq learning has been employed in ATE and significantly improved performance.
Ning Liu, Bo Shen
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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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BeeAE: effective aspect term extraction with artificial bee colony [PDF]
The Journal of Supercomputing, 2022 AbstractAspect terms are opinion targets for people to express and understand opinions in reviews. Aspect terms extraction is an essential subtask in aspect-level sentiment analysis. To extract aspect terms from a sentence, existing methods mainly focus on context features generated by pre-trained models.
Jingli Shi +3 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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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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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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Unsupervised Word and Dependency Path Embeddings for Aspect Term\n Extraction [PDF]
, 2016 IJCAI ...
Yichun Yin +5 more
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