Work

Relevance Modeling for Microblog Summarization

Year: 2021

Type: conference-paper

Abstract: This paper introduces a new type of summarization task, known as microblog summarization, which aims to synthesize content from multiple microblog posts on the same topic into a human-readable prose description of fixed length. Our approach leverages (1) a generative model which induces event structures from text and (2) a user behavior model which captures how users convey relevant content.

Source: Proceedings of the International AAAI Conference on Web and Social Media

DOI: 10.1609/icwsm.v5i1.14190

Authors: Sanda Harabagiu, Andrew Hickl

Institutions: The University of Texas at Dallas, Language Computer (United States)

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W192460397

FWCI: 0.282

Cites: 8

Cited by: 47

Related to: 10