Recognizing Biographical Sections in Wikipedia

Alessio Palmero Aprosio, Sara Tonelli
2015 Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing  
Wikipedia is the largest collection of encyclopedic data ever written in the history of humanity. Thanks to its coverage and its availability in machine-readable format, it has become a primary resource for largescale research in historical and cultural studies. In this work, we focus on the subset of pages describing persons, and we investigate the task of recognizing biographical sections from them: given a person's page, we identify the list of sections where information about her/his life
more » ... bout her/his life is present. We model this as a sequence classification problem, and propose a supervised setting, in which the training data are acquired automatically. Besides, we show that six simple features extracted only from the section titles are very informative and yield good results well above a strong baseline.
doi:10.18653/v1/d15-1095 dblp:conf/emnlp/AprosioT15 fatcat:qimt4ilkfbcdvptwdtfplbbjy4