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103
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EMNLP
2007
15 years 1 months ago
Fast and Robust Multilingual Dependency Parsing with a Generative Latent Variable Model
We use a generative history-based model to predict the most likely derivation of a dependency parse. Our probabilistic model is based on Incremental Sigmoid Belief Networks, a rec...
Ivan Titov, James Henderson
EMNLP
2009
14 years 10 months ago
Bilingually-Constrained (Monolingual) Shift-Reduce Parsing
Jointly parsing two languages has been shown to improve accuracies on either or both sides. However, its search space is much bigger than the monolingual case, forcing existing ap...
Liang Huang, Wenbin Jiang, Qun Liu
98
Voted
FSMNLP
2005
Springer
15 years 5 months ago
Parsing with Lexicalized Probabilistic Recursive Transition Networks
Abstract. We present a formalization of lexicalized Recursive Transition Networks which we call Automaton-Based Generative Dependency Grammar (gdg). We show how to extract a gdg fr...
Alexis Nasr, Owen Rambow
132
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EMNLP
2006
15 years 1 months ago
Incremental Integer Linear Programming for Non-projective Dependency Parsing
Integer Linear Programming has recently been used for decoding in a number of probabilistic models in order to enforce global constraints. However, in certain applications, such a...
Sebastian Riedel, James Clarke
COLING
2010
14 years 7 months ago
Chinese Frame Identification using T-CRF Model
As one of the important tasks of SemEval Evaluation, Frame Semantic Structure Extraction based on the FrameNet has received much more attention in NLP field. This task is often di...
Ru Li, Haijing Liu, Shuanghong Li