The most important obstacles facing multi-document summarization include excessive
redundancy in source descriptions and the looming shortage of training data. These …

Forum threads are lengthy and rich in content. Concise thread summaries will benefit both
newcomers seeking information and those who participate in the discussion. Few studies …

Opinion summarization from online product reviews is a challenging task, which involves
identifying opinions related to various aspects of the product being reviewed. While previous …

Summarization has usually relied on gold standard summaries to train extractive or
abstractive models. Social media brings a hurdle to summarization techniques since it …

We propose the task of updated headline generation, in which a system generates a
headline for an updated article, considering both the previous article and headline. The …

Online discussions frequently involve conspiracy theories, which can contribute to the
proliferation of belief in them. However, not all discussions surrounding conspiracy theories …

This paper presents an integrated framework to generate extractive aspect-based opinion
summary from a large volume of free-form text reviews. The framework has three major …

The goal of this research is to create a system that can generate summaries from online
debate forum by using abstractive technique. This research is based on the point-based …

Online customers opinions about products and services, in the form of reviews, are a major
part of today's web culture. However, customers, when looking for a product or service, do …

Opinion summarization has gained interest among researchers due to the usefulness and
challenges in extracting insights from the unprecedented amount of opinionated data …