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NLDB
2004
Springer
14 years 1 months ago
Acquiring Selectional Preferences from Untagged Text for Prepositional Phrase Attachment Disambiguation
Abstract. Extracting information automatically from texts for database representation requires previously well-grouped phrases so that entities can be separated adequately. This pr...
Hiram Calvo, Alexander F. Gelbukh
BMCBI
2007
124views more  BMCBI 2007»
13 years 8 months ago
BioInfer: a corpus for information extraction in the biomedical domain
Background: Lately, there has been a great interest in the application of information extraction methods to the biomedical domain, in particular, to the extraction of relationship...
Sampo Pyysalo, Filip Ginter, Juho Heimonen, Jari B...
EMNLP
2009
13 years 6 months ago
Toward Completeness in Concept Extraction and Classification
Many algorithms extract terms from text together with some kind of taxonomic classification (is-a) link. However, the general approaches used today, and specifically the methods o...
Eduard H. Hovy, Zornitsa Kozareva, Ellen Riloff
LREC
2008
193views Education» more  LREC 2008»
13 years 10 months ago
Eksairesis: A Domain-Adaptable System for Ontology Building from Unstructured Text
This paper describes Eksairesis, a system for learning economic domain knowledge automatically from Modern Greek text. The knowledge is in the form of economic terms and the seman...
Katia Kermanidis, Aristomenis Thanopoulos, Manolis...
SDM
2011
SIAM
269views Data Mining» more  SDM 2011»
12 years 11 months ago
Semi-Supervised Convolution Graph Kernels for Relation Extraction
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
Xia Ning, Yanjun Qi