Paper: An Unsupervised Approach to Biography Production Using Wikipedia

ACL ID P08-1092
Title An Unsupervised Approach to Biography Production Using Wikipedia
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2008
Authors

We describe an unsupervised approach to multi-document sentence-extraction based summarization for the task of producing biographies. We utilize Wikipedia to auto- matically construct a corpus of biographical sentences and TDT4 to construct a corpus of non-biographical sentences. We build a biographical-sentence classifier from these corpora and an SVM regression model for sentence ordering from the Wikipedia corpus. We evaluate our work on the DUC2004 evaluation data and with human judges. Overall, our system significantly outperforms all systems that participated in DUC2004, according to the ROUGE-L metric, and is preferred by human subjects.