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» Relation Extraction with Relation Topics
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ACL
1998
13 years 6 months ago
Terminological Variation, a Means of Identifying Research Topics from Texts
After extracting terms from a corpus of titles and s in English, syntactic variation relations are identified amongst them in order to detect research topics. Three types of synta...
Fidelia Ibekwe-Sanjuan
BMCBI
2006
131views more  BMCBI 2006»
13 years 5 months ago
Statistical modeling of biomedical corpora: mining the Caenorhabditis Genetic Center Bibliography for genes related to life span
Background: The statistical modeling of biomedical corpora could yield integrated, coarse-to-fine views of biological phenomena that complement discoveries made from analysis of m...
David M. Blei, K. Franks, Michael I. Jordan, I. Sa...
AIED
2007
Springer
13 years 11 months ago
Helping Courseware Authors to Build Ontologies: The Case of TM4L
The authors of topic map-based learning resources face major difficulties in constructing the underlying ontologies. In this paper we propose two approaches to address this problem...
Darina Dicheva, Christo Dichev
EMNLP
2011
12 years 5 months ago
Structured Relation Discovery using Generative Models
We explore unsupervised approaches to relation extraction between two named entities; for instance, the semantic bornIn relation between a person and location entity. Concretely, ...
Limin Yao, Aria Haghighi, Sebastian Riedel, Andrew...
WWW
2010
ACM
14 years 8 days ago
Relational duality: unsupervised extraction of semantic relations between entities on the web
Extracting semantic relations among entities is an important first step in various tasks in Web mining and natural language processing such as information extraction, relation de...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...