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» Forest-based Translation Rule Extraction
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ACL
2009
13 years 5 months ago
Improving Tree-to-Tree Translation with Packed Forests
Current tree-to-tree models suffer from parsing errors as they usually use only 1best parses for rule extraction and decoding. We instead propose a forest-based tree-to-tree model...
Yang Liu, Yajuan Lü, Qun Liu
CIKM
2005
Springer
14 years 1 months ago
A hybrid approach to NER by MEMM and manual rules
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
Moshe Fresko, Binyamin Rosenfeld, Ronen Feldman
EMNLP
2010
13 years 5 months ago
Combining Unsupervised and Supervised Alignments for MT: An Empirical Study
Word alignment plays a central role in statistical MT (SMT) since almost all SMT systems extract translation rules from word aligned parallel training data. While most SMT systems...
Jinxi Xu, Antti-Veikko I. Rosti
KES
2005
Springer
14 years 1 months ago
Extraction of Lexico-Syntactic Information and Acquisition of Causality Schemas for Text Annotation
We present the INSYSE method for the annotation of texts, based on extraction of semantic relations from syntactic structures. We is method to a corpus of 5000 Medline abstracts ab...
Laurent Alamarguy, Rose Dieng-Kuntz, Catherine Far...
COLING
2002
13 years 7 months ago
Inducing Information Extraction Systems for New Languages via Cross-language Projection
Information extraction (IE) systems are costly to build because they require development texts, parsing tools, and specialized dictionaries for each application domain and each na...
Ellen Riloff, Charles Schafer, David Yarowsky