MTNA: A Neural Multi-task Model for Aspect Category Classification and Aspect Term Extraction On Restaurant Reviews
Online reviews are valuable resources not only for consumers to make decisions before purchase, but also for providers to get feedbacks for their services or commodities. In Aspect Based Sentiment Analysis (ABSA), it is critical to identify aspect categories and extract aspect terms from the sentences of user-generated reviews. However, the two tasks are often treated independently, even though they are closely related. Intuitively, the learned knowledge of one task should inform the other learning task. In this paper, we propose a multi-task learning model based on neural networks to solve them together. We demonstrate the improved performance of our multi-task learning model over the models trained separately on three public dataset released by SemEval workshops.
Code (0)
등록된 구현이 없습니다.
Tasks
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Extract AspectGeneral ClassificationMulti-Task LearningOpinion MiningSentiment AnalysisTerm ExtractionText ClassificationSimilar Papers 제목 키워드 기반
Boosting Share Routing for Multi-task Learning
Multi-task learning (MTL) aims to make full use of the knowledge contained in multi-task supervision signals to improve the overall performance. How to make the knowledge of multiple tasks shared appropriately is an open…
Multi-Task LearningNeural Architecture SearchBetter Queries for Aspect-Category Sentiment Classification
Aspect-category sentiment classification (ACSC) aims to identify the sentiment polarities towards the aspect categories mentioned in a sentence. Because a sentence often mentions more than one aspect category and express…
Aspect Category DetectionAspect Category Sentiment ClassificationClassificationSentence+2MMTL: The Meta Multi-Task Learning for Aspect Category Sentiment Analysis
Aspect Category Sentiment Analysis (ACSA), which aims to identify fine-grained sentiment polarities of the aspect categories discussed in user reviews. ACSA is challenging and costly when conducting it into real-world ap…
Aspect Category Sentiment AnalysisMeta-LearningMulti-Task LearningSentiment AnalysisJointly Modeling Aspect and Polarity for Aspect-based Sentiment Analysis in Persian Reviews
Identification of user's opinions from natural language text has become an exciting field of research due to its growing applications in the real world. The research field is known as sentiment analysis and classificatio…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect Category DetectionAspect Category Polarity+4Aspect-Category based Sentiment Analysis with Hierarchical Graph Convolutional Network
Most of the aspect based sentiment analysis research aims at identifying the sentiment polarities toward some explicit aspect terms while ignores implicit aspects in text. To capture both explicit and implicit aspects, w…
Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)Aspect Category DetectionSentiment Analysis+1