In this blog post, we take one step beyond the current scope of opinion summarization and propose CoCoSum, a framework which aims to generate contrastive and common summaries by comparing multiple entities. This framework consists of two base summarization models that jointly generate contrastive and common summaries.
Supporting Humans in the Information Extraction Loop: An In-depth Study of the Practices, Limitations, and Opportunities
Information extraction (IE) is often the crucial first step in text-analysis tasks such as entity matching, knowledge-base population, and text summarization. Typically, data science workflows
Welcome to our team profile blog post! In this article, we highlight Yuliang Li, a Senior Research Scientist at Megagon Labs. We’ll discuss the aspects