Open AccessProceedings Article
Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms.
Wenya Wang,Sinno Jialin Pan,Daniel Dahlmeier,Xiaokui Xiao +3 more
- pp 3316-3322
TLDR
A novel deep learning model, named coupled multi-layer attentions, where each layer consists of a couple of attentions with tensor operators that are learned interactively to dually propagate information between aspect terms and opinion terms.Abstract:
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 sentence. However, this approach requires expensive effort for parsing and highly depends on the quality of the parsing results. In this paper, we offer a novel deep learning model, named coupled multi-layer attentions. The proposed model provides an end-to-end solution and does not require any parsers or other linguistic resources for preprocessing. Specifically, the proposed model is a multilayer attention network, where each layer consists of a couple of attentions with tensor operators. One attention is for extracting aspect terms, while the other is for extracting opinion terms. They are learned interactively to dually propagate information between aspect terms and opinion terms. Through multiple layers, the model can further exploit indirect relations between terms for more precise information extraction. Experimental results on three benchmark datasets in SemEval Challenge 2014 and 2015 show that our model achieves stateof-the-art performances compared with several baselines.read more
Citations
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Corpus-Based Techniques for Sentiment Lexicon Generation: A Review
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Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction.
Wenya Wang,Sinno Jialin Pan +1 more
TL;DR: This work proposes an interactive memory network that consists of local and global memory units that could exploit both local andglobal memory interactions to capture intra-correlations among aspect words or opinion words themselves, as well as the interconnections between aspect and opinion words.
References
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Proceedings Article
Distributed Representations of Words and Phrases and their Compositionality
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Neural Machine Translation by Jointly Learning to Align and Translate
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Neural Machine Translation by Jointly Learning to Align and Translate
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Book
Opinion Mining and Sentiment Analysis
Bo Pang,Lillian Lee +1 more
TL;DR: This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems and focuses on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis.