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EKAW
2008
Springer
13 years 11 months ago
Unsupervised Discovery of Compound Entities for Relationship Extraction
In this paper we investigate unsupervised population of a biomedical ontology via information extraction from biomedical literature. Relationships in text seldom connect simple ent...
Cartic Ramakrishnan, Pablo N. Mendes, Shaojun Wang...
LREC
2010
121views Education» more  LREC 2010»
13 years 10 months ago
Ngram Search Engine with Patterns Combining Token, POS, Chunk and NE Information
We developed a search tool for ngrams extracted from a very large corpus (the current system uses the entire Wikipedia, which has
Satoshi Sekine, Kapil Dalwani
ERCIMDL
2003
Springer
109views Education» more  ERCIMDL 2003»
14 years 2 months ago
Clustering Top-Ranking Sentences for Information Access
Abstract. In this paper we propose the clustering of top-ranking sentences (TRS) for effective information access. Top-ranking sentences are selected by a query-biased sentence ex...
Anastasios Tombros, Joemon M. Jose, Ian Ruthven
ICCAD
1997
IEEE
78views Hardware» more  ICCAD 1997»
14 years 1 months ago
A signature based approach to regularity extraction
Regularity extraction is an important step in the design ow of datapath-dominated circuits. This paper outlines a new method that automatically extracts regular structures from th...
Srinivasa Rao Arikati, Ravi Varadarajan
SIGIR
2003
ACM
14 years 2 months ago
Text categorization by boosting automatically extracted concepts
Term-based representations of documents have found widespread use in information retrieval. However, one of the main shortcomings of such methods is that they largely disregard le...
Lijuan Cai, Thomas Hofmann