Comparative Snippet Generation

Abstract

We 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.

Publication
Proceedings of the Fifth Workshop on e-Commerce and NLP (ECNLP 5)
Saurabh Jain
Masters Student (Jan ‘21)

Graduate Student January 2021 Intake

Yisong Miao
Yisong Miao
Doctoral Student (Jan ‘21)

PhD Candidate January 2021 Intake

Min-Yen Kan
Min-Yen Kan
Associate Professor

WING lead; interests include Digital Libraries, Information Retrieval and Natural Language Processing.