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ACL
1993
13 years 9 months ago
Towards History-Based Grammars: Using Richer Models for Probabilistic Parsing
We describe a generative probabilistic model of natural language, which we call HBG, that takes advantage of detailed linguistic information to resolve ambiguity. HBG incorporates...
Ezra Black, Frederick Jelinek, John D. Lafferty, D...
ACL
2008
13 years 9 months ago
Improving Parsing and PP Attachment Performance with Sense Information
To date, parsers have made limited use of semantic information, but there is evidence to suggest that semantic features can enhance parse disambiguation. This paper shows that sem...
Eneko Agirre, Timothy Baldwin, David Martín...
ACL
2009
13 years 5 months ago
Exploiting Heterogeneous Treebanks for Parsing
We address the issue of using heterogeneous treebanks for parsing by breaking it down into two sub-problems, converting grammar formalisms of the treebanks to the same one, and pa...
Zheng-Yu Niu, Haifeng Wang, Hua Wu
ACL
2006
13 years 9 months ago
Graph Transformations in Data-Driven Dependency Parsing
Transforming syntactic representations in order to improve parsing accuracy has been exploited successfully in statistical parsing systems using constituency-based representations...
Jens Nilsson, Joakim Nivre, Johan Hall
ACL
2008
13 years 9 months ago
Efficient, Feature-based, Conditional Random Field Parsing
Discriminative feature-based methods are widely used in natural language processing, but sentence parsing is still dominated by generative methods. While prior feature-based dynam...
Jenny Rose Finkel, Alex Kleeman, Christopher D. Ma...