Work

Extractive summaries for educational science content

Year: 2008

Type: conference-paper

Abstract: This paper describes an extractive summarizer for educational science content called COGENT. COGENT extends MEAD based on strategies elicited from an empirical study with domain and instructional experts. COGENT implements a hybrid approach integrating both domain independent sentence scoring features and domain-aware features. Initial evaluation results indicate that COGENT outperforms existing summarizers and generates summaries that closely resemble those generated by human experts.

Source: Proceedings of the conference - Association for Computational Linguistics. Meeting

DOI: 10.3115/1557690.1557696

Authors: Sebastian de la Chica, Faisal Ahmad, James H. Martin, Tamara Sumner

Institution: University of Colorado Boulder

Language: English

Topic: Advanced Text Analysis Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: bronze

Funder: National Science Foundation