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ACL
2004
13 years 6 months ago
Discovering Relations among Named Entities from Large Corpora
Discovering the significant relations embedded in documents would be very useful not only for information retrieval but also for question answering and summarization. Prior method...
Takaaki Hasegawa, Satoshi Sekine, Ralph Grishman
LREC
2008
153views Education» more  LREC 2008»
13 years 6 months ago
Named Entity Relation Mining using Wikipedia
Discovering relations among Named Entities (NEs) from large corpora is both a challenging, as well as useful task in the domain of Natural Language Processing, with applications i...
Adrian Iftene, Alexandra Balahur-Dobrescu
EDBT
2009
ACM
116views Database» more  EDBT 2009»
13 years 9 months ago
Ranking objects based on relationships and fixed associations
Text corpora are often enhanced by additional metadata which relate real-world entities, with each document in which such entities are discussed. Such relationships are typically ...
Albert Angel, Surajit Chaudhuri, Gautam Das, Nick ...
SAC
2009
ACM
13 years 11 months ago
Applying latent dirichlet allocation to group discovery in large graphs
This paper introduces LDA-G, a scalable Bayesian approach to finding latent group structures in large real-world graph data. Existing Bayesian approaches for group discovery (suc...
Keith Henderson, Tina Eliassi-Rad
IJCAI
2007
13 years 6 months ago
Open Information Extraction from the Web
Traditionally, Information Extraction (IE) has focused on satisfying precise, narrow, pre-specified requests from small homogeneous corpora (e.g., extract the location and time o...
Michele Banko, Michael J. Cafarella, Stephen Soder...