Results 271 to 280 of about 597,067 (301)

Syntax-Aware Representation for Aspect Term Extraction

Lecture Notes in Computer Science, 2019
Aspect Term Extraction (ATE) plays an important role in aspect-based sentiment analysis. Syntax-based neural models that learn rich linguistic knowledge have proven their effectiveness on ATE. However, previous approaches mainly focus on modeling syntactic structure, neglecting rich interactions along dependency arcs. Besides, these methods highly rely
Jingyuan Zhang, Guangluan Xu, Xinyi Wang, Xian Sun, Tinglei Huang 0001   +4 more
exaly   +2 more sources

STC: Stacked Two-stage Convolution for Aspect Term Extraction

2021 International Symposium on Electrical, Electronics and Information Engineering, 2021
Aspect term extraction (ATE) aims to extract aspect terms from reviews as opinion targets for sentiment analysis. Although some of the previous works prove that dependency relationship between aspect terms and context is useful for ATE, they have barely tried to use graph neural networks to capture valuable information in dependency patterns ...
Ruiqi Wang, Shuai Liu, Binhui Wang, Shusong Xing   +3 more
openaire   +1 more source

Prominent Aspect Term Extraction in Aspect Based Sentiment Analysis

2018 3rd International Conference and Workshops on Recent Advances and Innovations in Engineering (ICRAIE), 2018
In recent years unstructured text has flooded on the web and today it is a trend to comments, give feedback, share experiences toward products, articles, social issues, multimedia web documents etc. Most of the online social, as well as, commercial platform have started to provide separate space for user reviews in the form of natural text.
Ganpat Singh Chauhan, Yogesh Kumar Meena
openaire   +1 more source

Joint aspect terms extraction and aspect categories detection via multi-task learning

Expert Systems with Applications, 2021
Abstract Aspect Terms Extraction (ATE) and Aspect Categories Detection (ACD) are two fundamental sub-tasks for aspect-based sentiment analysis. Most of the existing works mainly focus on the ATE task or the co-extraction of aspect terms and opinion words, while few attention are paid to the ACD task.
Youcai Wei, Hongyun Zhang, Jian Fang 0004, Jiahui Wen, Jingwei Ma, Guangda Zhang   +5 more
openaire   +1 more source

Unsupervised Neural Aspect Extraction with Related Terms

2020
The tasks of aspect identification and term extraction remain challenging in natural language processing. While supervised methods achieve high scores, it is hard to use them in real-world applications due to the lack of labelled datasets. Unsupervised approaches outperform these methods on several tasks, but it is still a challenge to extract both an ...
Timur Sokhin, Maria Khodorchenko, Nikolay Butakov   +2 more
openaire   +1 more source

Self-augmented sequentiality-aware encoding for aspect term extraction

Information Processing and Management
Qingting Xu, Chen Chen
exaly   +2 more sources

Aspect Based Sentiment Analysis in Bangla Dataset Based on Aspect Term Extraction

2020
Recent years have seen rapid growth of research on sentiment analysis. In aspect-based sentiment analysis, the idea is to take sentiment analysis a step further and find out what exactly someone is talking about, and then measuring the sentiment if she or he likes or dislikes it.
Sabrina Haque, Tasnim Rahman, Asif Khan Shakir, Md. Shohel Arman, Khalid Been Badruzzaman Biplob, Farhan Anan Himu, Dipta Das, Md Shariful Islam   +7 more
openaire   +1 more source

Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms

Proceedings of the AAAI Conference on Artificial Intelligence, 2017
The task of aspect and opinion terms co-extraction aims to explicitly extract aspect terms describing features of an entity and opinion terms expressing emotions from user-generated texts. To achieve this task, one effective approach is to exploit relations between aspect terms and opinion terms by parsing syntactic structure for each ...
Wenya Wang 0001, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao   +3 more
openaire   +1 more source

Densely-connected neural networks for aspect term extraction

Science China Information Sciences, 2021
Chen Chen, Houfeng Wang, Qingqing Zhu, Junfei Liu   +3 more
openaire   +1 more source

Recurrent Neural CRF for Aspect Term Extraction with Dependency Transmission

2018
This paper presents a novel neural architecture for aspect term extraction in fine-grained sentiment computing area. In addition to amalgamating sequential features (character embedding, word embedding and POS tagging information), we train an end-to-end Recurrent Neural Networks (RNNs) with meticulously designed dependency transmission between ...
Lindong Guo, Shengyi Jiang, Wenjing Du, Suifu Gan   +3 more
openaire   +1 more source