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» Boosting Unsupervised Relation Extraction by Using NER
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CORR
2006
Springer
225views Education» more  CORR 2006»
14 years 9 months ago
Building and displaying name relations using automatic unsupervised analysis of newspaper articles
We present a tool that, from automatically recognised names, tries to infer inter-person relations in order to present associated people on maps. Based on an in-house Named Entity...
Bruno Pouliquen, Ralf Steinberger, Camelia Ignat, ...
SWAP
2008
14 years 11 months ago
Combining Statistical Techniques and Lexico-syntactic Patterns for Semantic Relations Extraction from Text
We describe here a methodology to combine two different techniques for Semantic Relation Extraction from texts. On the one hand, generic lexicosyntactic patterns are applied to the...
Emiliano Giovannetti, Simone Marchi, Simonetta Mon...
AI
2005
Springer
14 years 9 months ago
Unsupervised named-entity extraction from the Web: An experimental study
The KNOWITALL system aims to automate the tedious process of extracting large collections of facts (e.g., names of scientists or politicians) from the Web in an unsupervised, doma...
Oren Etzioni, Michael J. Cafarella, Doug Downey, A...
LREC
2010
220views Education» more  LREC 2010»
14 years 11 months ago
An Unsupervised Approach for Semantic Relation Interpretation
In this work we propose a hybrid unsupervised approach for semantic relation extraction from Italian and English texts. The system takes as input pairs of "distributionally s...
Emiliano Giovannetti
ACL
2006
14 years 11 months ago
An Effective Two-Stage Model for Exploiting Non-Local Dependencies in Named Entity Recognition
This paper shows that a simple two-stage approach to handle non-local dependencies in Named Entity Recognition (NER) can outperform existing approaches that handle non-local depen...
Vijay Krishnan, Christopher D. Manning