all AI news
Product Description and QA Assisted Self-Supervised Opinion Summarization
April 9, 2024, 4:50 a.m. | Tejpalsingh Siledar, Rupasai Rangaraju, Sankara Sri Raghava Ravindra Muddu, Suman Banerjee, Amey Patil, Sudhanshu Shekhar Singh, Muthusamy Chelliah, N
cs.CL updates on arXiv.org arxiv.org
Abstract: In e-commerce, opinion summarization is the process of summarizing the consensus opinions found in product reviews. However, the potential of additional sources such as product description and question-answers (QA) has been considered less often. Moreover, the absence of any supervised training data makes this task challenging. To address this, we propose a novel synthetic dataset creation (SDC) strategy that leverages information from reviews as well as additional sources for selecting one of the reviews as …
abstract arxiv commerce consensus cs.ai cs.cl data e-commerce found however opinion opinions process product product reviews question reviews summarization summarizing supervised training training training data type
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Data Engineer - New Graduate
@ Applied Materials | Milan,ITA
Lead Machine Learning Scientist
@ Biogen | Cambridge, MA, United States