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» Improving Language Models by Clustering Training Sentences
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LREC
2010
155views Education» more  LREC 2010»
13 years 9 months ago
A Named Entity Labeler for German: Exploiting Wikipedia and Distributional Clusters
Named Entity Recognition is a relatively well-understood NLP task, with many publicly available training resources and software for English. Other languages tend to be underserved...
Grzegorz Chrupala, Dietrich Klakow
COLING
1994
13 years 9 months ago
A Corpus-Based Learning Technique for Building A Self-Extensible Parser
IIuman intervention and/or training corpora tagged with various kinds of information were often assumed in many natural language acquisition models. This assumption is a major sou...
Rey-Long Liu, Von-Wun Soo
KAIS
2006
121views more  KAIS 2006»
13 years 7 months ago
TEG-a hybrid approach to information extraction
Abstract This paper describes a hybrid statistical and knowledge-based inforQ1 mation extraction model, able to extract entities and relations at the sentence level. The model atte...
Ronen Feldman, Binyamin Rosenfeld, Moshe Fresko
COLING
2010
13 years 2 months ago
Improving Reordering with Linguistically Informed Bilingual n-grams
We present a new reordering model estimated as a standard n-gram language model with units built from morphosyntactic information of the source and target languages. It can be see...
Josep Maria Crego, François Yvon
ECML
2003
Springer
14 years 1 months ago
Learning Rules to Improve a Machine Translation System
In this paper we show how to learn rules to improve the performance of a machine translation system. Given a system consisting of two translation functions (one from language A to ...
David Kauchak, Charles Elkan