Maseeh Summer Undergraduate Research Experience
Funding Source
Undergraduate Research and Mentoring Program (URMP)
Advisor
Ameeta Agrawal
Document Type
Poster
Publication Date
2022
Abstract
Background: (i) Automatic Text Summarization involves generating concise summaries of natural language text documents by using machine learning systems. (ii) Most prior research has focused on developing systems that can summarize a single document (for example a news article), but recent research has developed systems that can summarize a cluster of multiple documents (for example Tweets or customer reviews). (iii) Multi-document summarization is more challenging due to the higher diversity of information in the source documents.
Citation Details
Ridenour, Michael, "Assessing Inter-metric Correlation for Multi-document Summarization Evaluation" (2022). Maseeh Summer Undergraduate Research Experience. 48.