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2022 ACL ACL 2022

Comparative Snippet Generation

Abstract

AbstractWe model products’ reviews to generate comparative responses consisting of positive and negative experiences regarding the product. Specifically, we generate a single-sentence, comparative response from a given positive and a negative opinion. We contribute the first dataset for this task of Comparative Snippet Generation from contrasting opinions regarding a product, and an analysis of performance of a pre-trained BERT model to generate such snippets.

🌉 Interdisciplinary Bridge — Deep Learning and Natural Language Processing
🧭 Keyword Pioneer — comparative generation
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio

Authors

Saurabh Jain , Yisong Miao , Min-Yen Kan

Topics

Natural Language Processing > Generation > Text Generation Natural Language Processing > Applications > Text Classification Natural Language Processing > Applications > Summarization Deep Learning > Models > Transformers

Keywords

sentiment analysis opinion mining opinion summarization text generation product review comparative generation comparative snippet generation
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