Learn from Syntax: Improving Pair-wise Aspect and Opinion Terms Extractionwith Rich Syntactic Knowledge
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, including a label-aware graph convolutional network (LAGCN) for modeling the dependency edges and labels, as well as the POS tags unifiedly, and a local-attention module encoding POS tags for better term boundary detection. During pairing, we then adopt Biaffine and Triaffine scoring for high-order aspect-opinion term pairing, in the meantime re-harnessing the syntax-enriched representations in LAGCN for syntactic-aware scoring. Experimental results on four benchmark datasets demonstrate that our model outperforms current state-of-the-art baselines, meanwhile yielding explainable predictions with syntactic knowledge.
Code (1)
Tasks
Boundary DetectionPOSSimilar Papers 제목 키워드 기반
SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction
Aspect terms extraction and opinion terms extraction are two key problems of fine-grained Aspect Based Sentiment Analysis (ABSA). The aspect-opinion pairs can provide a global profile about a product or service for consu…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Multi-Task LearningOpinion Mining+2Trading Syntax Trees for Wordpieces: Target-oriented Opinion Words Extraction with Wordpieces and Aspect Enhancement
State-of-the-art target-oriented opinion word extraction (TOWE) models typically use BERT-based text encoders that operate on the word level, along with graph convolutional networks (GCNs) that incorporate syntactic info…
Sentencetarget-oriented opinion words extractionImproving Span-based Aspect Sentiment Triplet Extraction with Abundant Syntax Knowledge
Aspect sentiment triplet extraction is a subtask of aspect based sentiment analysis, which has attracted considerable attention in recent years. It aims to obtain the aspect term, the associated opinion term and sentimen…
Aspect-Based Sentiment AnalysisAspect Sentiment Triplet ExtractionSentiment AnalysisTripletAspect-based Sentiment Analysis with Opinion Tree Generation
Existing studies usually extract these sentiment elements by decomposing the complex structure prediction task into multiple subtasks. Despite their effectiveness, these methods ignore the semantic structure in ABSA prob…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Sentiment AnalysisQuestion-Driven Span Labeling Model for Aspect–Opinion Pair Extraction
Aspect term extraction and opinion word extraction are two fundamental subtasks of aspect-based sentiment analysis. The internal relationship between aspect terms and opinion words is typically ignored, and information f…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Decision MakingMachine Reading Comprehension+3