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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
ICCPOL
2009
Springer
15 years 4 months ago
Lexicalized Syntactic Reordering Framework for Word Alignment and Machine Translation
Abstract. We propose a lexicalized syntactic reordering framework for crosslanguage word aligning and translating researches. In this framework, we first flatten hierarchical sourc...
Chung-Chi Huang, Wei-Teh Chen, Jason S. Chang
EMNLP
2011
13 years 9 months ago
Inducing Sentence Structure from Parallel Corpora for Reordering
When translating among languages that differ substantially in word order, machine translation (MT) systems benefit from syntactic preordering—an approach that uses features fro...
John DeNero, Jakob Uszkoreit
ICML
2008
IEEE
15 years 10 months ago
A unified architecture for natural language processing: deep neural networks with multitask learning
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...
Ronan Collobert, Jason Weston
COLING
1990
14 years 11 months ago
Information Extraction and Semantic Constraints
We consider the problem of extracting specified types of information from natural language text. To properly analyze the text, we wish to apply semantic (selectional) constraints ...
Ralph Grishman, John Sterling