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» Trainable Methods for Surface Natural Language Generation
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ACL
2010
14 years 7 months ago
Phrase-Based Statistical Language Generation Using Graphical Models and Active Learning
Most previous work on trainable language generation has focused on two paradigms: (a) using a statistical model to rank a set of generated utterances, or (b) using statistics to i...
François Mairesse, Milica Gasic, Filip Jurc...
ANLP
2000
111views more  ANLP 2000»
14 years 11 months ago
Bagging and Boosting a Treebank Parser
Bagging and boosting, two effective machine learning techniques, are applied to natural language parsing. Experiments using these techniques with a trainable statistical parser ar...
John C. Henderson, Eric Brill
NLPRS
2001
Springer
15 years 2 months ago
Automatically Harvesting Katakana-English Term Pairs from Search Engine Query Logs
This paper describes a method of extracting katakana words and phrases, along with their English counterparts from non-aligned monolingual web search engine query logs. The method...
Eric Brill, Gary Kacmarcik, Chris Brockett
HASKELL
2006
ACM
15 years 3 months ago
GenI: natural language generation in Haskell
In this article we present GenI, a chart based surface realisation tool implemented in Haskell. GenI takes as input a set of first order terms (the input semantics) and a grammar...
Eric Kow
ACL
1998
14 years 11 months ago
Some Properties of Preposition and Subordinate Conjunction Attachments
Determining the attachments of prepositions and subordinate conjunctions is a key problem in parsing natural language. This paper presents a trainable approach to making these att...
Alexander S. Yeh, Marc B. Vilain