Multi-document Biography Summarization
Liang Zhou, Miruna Ticrea, Eduard Hovy
TL;DR
This paper presents a system for generating multi-document biographies by combining sentence classification and information retrieval techniques, demonstrating strong performance in DUC2004 evaluations.
Contribution
It introduces a novel application of existing techniques to multi-document biography summarization, which was not previously explored.
Findings
System ranked among top performers in DUC2004 task 5
Effective combination of sentence classification and IR techniques
Achieved high-quality short summaries focused on individual persons
Abstract
In this paper we describe a biography summarization system using sentence classification and ideas from information retrieval. Although the individual techniques are not new, assembling and applying them to generate multi-document biographies is new. Our system was evaluated in DUC2004. It is among the top performers in task 5-short summaries focused by person questions.
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Taxonomy
TopicsTopic Modeling · Natural Language Processing Techniques · Biomedical Text Mining and Ontologies