@inproceedings{li-etal-2006-mining,
title = "Mining Implicit Entities in Queries",
author = "Li, Wei and
Li, Wenjie and
Lu, Qin",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Gangemi, Aldo and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Tapias, Daniel",
booktitle = "Proceedings of the Fifth International Conference on Language Resources and Evaluation ({LREC}{'}06)",
month = may,
year = "2006",
address = "Genoa, Italy",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2006/pdf/297_pdf.pdf",
abstract = "Entities are pivotal in describing events and objects, and also very important in Document Summarization. In general only explicit entities which can be extracted by a Named Entity Recognizer are used in real applications. However, implicit entities hidden behind the phrases or words, e.g. entity referred by the phrase cross border, are proved to be helpful in Document Summarization. In our experiment, we extract the implicit entities from the web resources.",
}
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<abstract>Entities are pivotal in describing events and objects, and also very important in Document Summarization. In general only explicit entities which can be extracted by a Named Entity Recognizer are used in real applications. However, implicit entities hidden behind the phrases or words, e.g. entity referred by the phrase cross border, are proved to be helpful in Document Summarization. In our experiment, we extract the implicit entities from the web resources.</abstract>
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%0 Conference Proceedings
%T Mining Implicit Entities in Queries
%A Li, Wei
%A Li, Wenjie
%A Lu, Qin
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Gangemi, Aldo
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Tapias, Daniel
%S Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)
%D 2006
%8 May
%I European Language Resources Association (ELRA)
%C Genoa, Italy
%F li-etal-2006-mining
%X Entities are pivotal in describing events and objects, and also very important in Document Summarization. In general only explicit entities which can be extracted by a Named Entity Recognizer are used in real applications. However, implicit entities hidden behind the phrases or words, e.g. entity referred by the phrase cross border, are proved to be helpful in Document Summarization. In our experiment, we extract the implicit entities from the web resources.
%U http://www.lrec-conf.org/proceedings/lrec2006/pdf/297_pdf.pdf
Markdown (Informal)
[Mining Implicit Entities in Queries](http://www.lrec-conf.org/proceedings/lrec2006/pdf/297_pdf.pdf) (Li et al., LREC 2006)
ACL
- Wei Li, Wenjie Li, and Qin Lu. 2006. Mining Implicit Entities in Queries. In Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06), Genoa, Italy. European Language Resources Association (ELRA).