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» Semantic Role Features for Machine Translation
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EACL
2006
ACL Anthology
13 years 6 months ago
Semantic Role Labeling for Coreference Resolution
Extending a machine learning based coreference resolution system with a feature capturing automatically generated information about semantic roles improves its performance.
Simone Paolo Ponzetto, Michael Strube
EMNLP
2007
13 years 6 months ago
Experimental Evaluation of LTAG-Based Features for Semantic Role Labeling
In this technical report, we propose the use of Lexicalized Tree-Adjoining Grammar (LTAG) formalism as an important additional source of features for the Semantic Role Labeling (S...
Yudong Liu, Anoop Sarkar
LREC
2010
166views Education» more  LREC 2010»
13 years 6 months ago
Semantic Evaluation of Machine Translation
It is recognized that many evaluation metrics of machine translation in use that focus on surface word level suffer from their lack of tolerance of linguistic variance, and the in...
Billy Tak-Ming Wong
ICDM
2003
IEEE
113views Data Mining» more  ICDM 2003»
13 years 10 months ago
Semantic Role Parsing: Adding Semantic Structure to Unstructured Text
There is a ever-growing need to add structure in the form of semantic markup to the huge amounts of unstructured text data now available. We present the technique of shallow seman...
Sameer Pradhan, Kadri Hacioglu, Wayne Ward, James ...
ACL
2003
13 years 6 months ago
A Probability Model to Improve Word Alignment
Word alignment plays a crucial role in statistical machine translation. Word-aligned corpora have been found to be an excellent source of translation-related knowledge. We present...
Colin Cherry, Dekang Lin