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 …

Evaluation of opinion summaries using conventional reference-based metrics rarely provides
a holistic evaluation and has been shown to have a relatively low correlation with human …

Reinforcement Learning from Human Feedback (RLHF) has become a dominating strategy
in aligning Language Models (LMs) with human values/goals. The key to the strategy is …

Opinion summarization in e-commerce encapsulates the collective views of numerous users
about a product based on their reviews. Typically, a product on an e-commerce platform …

Opinion summarization involves condensing opinions into concise representations that
capture consensus while preserving overall sentiment. The surge in customer reviews on …

Multi-source Opinion Summarization (M-OS) extends beyond traditional opinion summarization
by incorporating additional sources of product metadata such as descriptions, key …

This book focuses on transactions between English and Telugu through a study of
translations and related works published from about the early-nineteenth century to mid-twentieth …

Hi, Welcome to the 2024 Annual Conference of the North American Association for
Computational Linguistics! NAACL 2024 is a hybrid conference, and we are excited to have …

Product recommendations inherently involve comparisons, yet traditional opinion
summarization often fails to provide holistic comparative insights. We propose the novel task of …

The exponential growth of online reviews has provided customers with abundant information
about products and services. However, this overwhelming volume can also lead to stress …