Enhancing Review Comprehension with Domain-Specific Commonsense
Review comprehension has played an increasingly important role in improving the quality of online services and products and commonsense knowledge can further enhance review comprehension. However, existing general-purpose commonsense knowledge bases lack sufficient coverage and precision to meaningfully improve the comprehension of domain-specific reviews. In this paper, we introduce xSense, an effective system for review comprehension using domain-specific commonsense knowledge bases (xSense KBs). We show that xSense KBs can be constructed inexpensively and present a knowledge distillation method that enables us to use xSense KBs along with BERT to boost the performance of various review comprehension tasks. We evaluate xSense over three review comprehension tasks: aspect extraction, aspect sentiment classification, and question answering. We find that xSense outperforms the state-of-the-art models for the first two tasks and improves the baseline BERT QA model significantly, demonstrating the usefulness of incorporating commonsense into review comprehension pipelines. To facilitate future research and applications, we publicly release three domain-specific knowledge bases and a domain-specific question answering benchmark along with this paper.
Code (0)
등록된 구현이 없습니다.
Tasks
Aspect ExtractionKnowledge DistillationQuestion AnsweringSentiment AnalysisSentiment ClassificationMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
FAQ-Gen: An automated system to generate domain-specific FAQs to aid content comprehension
Frequently Asked Questions (FAQs) refer to the most common inquiries about specific content. They serve as content comprehension aids by simplifying topics and enhancing understanding through succinct presentation of inf…
Question AnsweringReasoning with Heterogeneous Knowledge for Commonsense Machine Comprehension
Reasoning with commonsense knowledge is critical for natural language understanding. Traditional methods for commonsense machine comprehension mostly only focus on one specific kind of knowledge, neglecting the fact that…
Natural Language UnderstandingReading ComprehensionvalidCommonsense Knowledge + BERT for Level 2 Reading Comprehension Ability Test
Commonsense knowledge plays an important role when we read. The performance of BERT on SQuAD dataset shows that the accuracy of BERT can be better than human users. However, it does not mean that computers can surpass th…
ArticlesReading ComprehensionCommonsense Evidence Generation and Injection in Reading Comprehension
Human tackle reading comprehension not only based on the given context itself but often rely on the commonsense beyond. To empower the machine with commonsense reasoning, in this paper, we propose a Commonsense Evidence …
Language ModelingLanguage ModellingReading ComprehensionCK-Transformer: Commonsense Knowledge Enhanced Transformers for Referring Expression Comprehension
The task of multimodal referring expression comprehension (REC), aiming at localizing an image region described by a natural language expression, has recently received increasing attention within the research comminity. …
Referring ExpressionReferring Expression Comprehension