TY - GEN
T1 - Exploiting the role of named entities in query-oriented document summarization
AU - Li, Wenjie
AU - Wei, Furu
AU - You, Ouyang
AU - Lu, Qin
AU - He, Yanxiang
PY - 2008/12/1
Y1 - 2008/12/1
N2 - In this paper, we exploit the role of named entities in measuring document/query sentence relevance in query-oriented extractive summarization. Named entity driven associations are defined as the informative, semantic-sensitive text bi-grams consisting of at least one named entity or the semantic class of a named entity. They are extracted automatically according to seven pre-defined templates. Question types are also taken into consideration if they are available when dealing with query questions. To alleviate problems with low coverage, named entity based association and uni-gram models are integrated together to compensate each other in similarity calculation. Automatic ROUGE evaluations indicate that the proposed idea can produce a very good system that among the best-performing system at the DUC 2005.
AB - In this paper, we exploit the role of named entities in measuring document/query sentence relevance in query-oriented extractive summarization. Named entity driven associations are defined as the informative, semantic-sensitive text bi-grams consisting of at least one named entity or the semantic class of a named entity. They are extracted automatically according to seven pre-defined templates. Question types are also taken into consideration if they are available when dealing with query questions. To alleviate problems with low coverage, named entity based association and uni-gram models are integrated together to compensate each other in similarity calculation. Automatic ROUGE evaluations indicate that the proposed idea can produce a very good system that among the best-performing system at the DUC 2005.
KW - Named entity based association
KW - Query-oriented summarization
UR - http://www.scopus.com/inward/record.url?scp=58349107144&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-89197-0_68
DO - 10.1007/978-3-540-89197-0_68
M3 - Conference article published in proceeding or book
SN - 354089196X
SN - 9783540891963
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 740
EP - 749
BT - PRICAI 2008
T2 - 10th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2008
Y2 - 15 December 2008 through 19 December 2008
ER -