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» A Method of Recognizing Entity and Relation
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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 7 days ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
ICDE
2010
IEEE
199views Database» more  ICDE 2010»
15 years 11 months ago
Fuzzy Matching of Web Queries to Structured Data
Recognizing the alternative ways people use to reference an entity, is important for many Web applications that query structured data. In such applications, there is often a mismat...
Tao Cheng, Hady Wirawan Lauw, Stelios Paparizos
POLICY
2005
Springer
15 years 5 months ago
Using Linear Temporal Model Checking for Goal-Oriented Policy Refinement Frameworks
Policy refinement is meant to derive lower-level policies from higher-level ones so that these more specific policies are better suited for use in different execution environments...
Javier Rubio-Loyola, Joan Serrat, Marinos Charalam...
ACL
2008
15 years 1 months ago
Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...
Sujan Kumar Saha, Pabitra Mitra, Sudeshna Sarkar
EMNLP
2006
15 years 1 months ago
Boosting Unsupervised Relation Extraction by Using NER
Web extraction systems attempt to use the immense amount of unlabeled text in the Web in order to create large lists of entities and relations. Unlike traditional IE methods, the ...
Ronen Feldman, Benjamin Rosenfeld