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BMCBI
2011
12 years 11 months ago
The Biomedical Discourse Relation Bank
Background: Identification of discourse relations, such as causal and contrastive relations, between situations mentioned in text is an important task for biomedical text-mining. ...
Rashmi Prasad, Susan McRoy, Nadya Frid, Aravind K....
BMCBI
2008
173views more  BMCBI 2008»
13 years 7 months ago
Extraction of semantic biomedical relations from text using conditional random fields
Background: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of a...
Markus Bundschus, Mathäus Dejori, Martin Stet...
CIKM
2007
Springer
13 years 9 months ago
Proximity-based document representation for named entity retrieval
One aspect in which retrieving named entities is different from retrieving documents is that the items to be retrieved – persons, locations, organizations – are only indirect...
Desislava Petkova, W. Bruce Croft
ACL
2006
13 years 9 months ago
Unsupervised Relation Disambiguation Using Spectral Clustering
This paper presents an unsupervised learning approach to disambiguate various relations between name entities by use of various lexical and syntactic features from the contexts. I...
Jinxiu Chen, Dong-Hong Ji, Chew Lim Tan, Zheng-Yu ...
RIVF
2007
13 years 9 months ago
Disambiguation of People in Web Search Using a Knowledge Base
— Results of queries by personal names often contain documents related to several people because of the namesake problem. In order to differentiate documents related to different...
Quang Minh Vu, Tomonari Masada, Atsuhiro Takasu, J...