Sciweavers

501 search results - page 22 / 101
» Improving Language Models by Clustering Training Sentences
Sort
View
LREC
2010
155views Education» more  LREC 2010»
15 years 1 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
87
Voted
COLING
1994
15 years 1 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»
15 years 10 days 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
95
Voted
COLING
2010
14 years 7 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
70
Voted
ECML
2003
Springer
15 years 5 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