Multi-document Biography Summarization Export

@misc{citeulike:84927, 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.}, archivePrefix = {arXiv}, author = {Zhou, Liang and Ticrea, Miruna and Hovy, Eduard}, citeulike-article-id = {84927}, citeulike-linkout-0 = {http://arxiv.org/abs/cs/0501078}, citeulike-linkout-1 = {http://arxiv.org/pdf/cs/0501078}, day = {26}, eprint = {cs/0501078}, keywords = {summarisation}, month = {January}, posted-at = {2005-01-28 12:18:24}, priority = {5}, title = {Multi-document Biography Summarization}, url = {http://arxiv.org/abs/cs/0501078}, year = {2005} }

TY - ELEC ID - citeulike:84927 L3 - citeulike-article-id:84927 N2 - 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. TI - Multi-document Biography Summarization KW - summarisation AU - Zhou, Liang AU - Ticrea, Miruna AU - Hovy, Eduard PY - 2005/01/26/ UR - http://arxiv.org/abs/cs/0501078 ER -