Syntax-Aware Graph Attention Network for Aspect-Level Sentiment Classification

2020-12-01 · COLING 2020 8 · Lianzhe Huang, Xin Sun, Sujian Li, Linhao Zhang, Houfeng Wang

Aspect-level sentiment classification aims to distinguish the sentiment polarities over aspect terms in a sentence. Existing approaches mostly focus on modeling the relationship between the given aspect words and their contexts with attention, and ignore the use of more elaborate knowledge implicit in the context. In this paper, we exploit syntactic awareness to the model by the graph attention network on the dependency tree structure and external pre-training knowledge by BERT language model, which helps to model the interaction between the context and aspect words better. And the subwords of BERT are integrated into the dependency tree graphs, which can obtain more accurate representations of words by graph attention. Experiments demonstrate the effectiveness of our model.

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Tasks

ClassificationGraph AttentionLanguage ModelingLanguage ModellingSentenceSentiment AnalysisSentiment Classification

Methods 이 논문이 사용한 방법론

Attention 설명 없음

Linear Layer A Linear Layer is a projection $\mathbf{XW + b}$.

Linear Warmup With Linear Decay Linear Warmup With Linear Decay is a learning rate schedule in which we increase the learning rate linearly for $n$ updates and then linearly decay afterwards.

Weight Decay 설명 없음

Attention Dropout Attention Dropout is a type of dropout used in attention-based architectures, where elements are randomly dropped out of the…

Residual Connection 설명 없음

Layer Normalization Unlike batch normalization, Layer Normalization directly estimates the normalization statistics from the summed inputs…

Multi-Head Attention 설명 없음

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2022-04-06 · Findings (ACL) 2022 5 · Shuo Liang, Wei Wei, Xian-Ling Mao, Fei Wang 외

Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task that aims to align aspects and corresponding sentiments for aspect-specific sentiment polarity inference. It is challenging because a sente…

Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA)Graph Attention Sentence+1

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2019-10-24 · NAACL (TextGraphs) 2021 6 · Xiaochen Hou, Jing Huang, Guangtao Wang, Xiaodong He 외

Aspect-level sentiment classification aims to identify the sentiment polarity towards a specific aspect term in a sentence. Most current approaches mainly consider the semantic information by utilizing attention mechanis…

General Classification Sentence Sentiment Analysis Sentiment Classification

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2021-05-06 · Shengqiong Wu, Hao Fei, Yafeng Ren, Donghong Ji 외

In this paper, we propose to enhance the pair-wise aspect and opinion terms extraction (PAOTE) task by incorporating rich syntactic knowledge. We first build a syntax fusion encoder for encoding syntactic features, inclu…

Boundary Detection POS

Syntax-Aware Aspect-Level Sentiment Classification with Proximity-Weighted Convolution Network

2019-09-23 · Chen Zhang, Qiuchi Li, Dawei Song

It has been widely accepted that Long Short-Term Memory (LSTM) network, coupled with attention mechanism and memory module, is useful for aspect-level sentiment classification. However, existing approaches largely rely o…

Descriptive General Classification Sentiment Analysis Sentiment Classification