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» Learning for Semantic Parsing
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132
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EMNLP
2008
15 years 5 months ago
Sparse Multi-Scale Grammars for Discriminative Latent Variable Parsing
We present a discriminative, latent variable approach to syntactic parsing in which rules exist at multiple scales of refinement. The model is formally a latent variable CRF gramm...
Slav Petrov, Dan Klein
166
Voted
ECCV
2008
Springer
15 years 4 months ago
Multi-thread Parsing for Recognizing Complex Events in Videos
This paper presents a probabilistic grammar approach to the recognition of complex events in videos. Firstly, based on the original motion features, a rule induction algorithm is a...
Zhang Zhang, Kaiqi Huang, Tieniu Tan
137
Voted
NAACL
2010
15 years 1 months ago
Ensemble Models for Dependency Parsing: Cheap and Good?
Previous work on dependency parsing used various kinds of combination models but a systematic analysis and comparison of these approaches is lacking. In this paper we implemented ...
Mihai Surdeanu, Christopher D. Manning
135
Voted
NAACL
2003
15 years 5 months ago
Building lexical semantic representations for Natural Language instructions
We report on our work to automatically build a corpus of instructional text annotated with lexical semantics information. We have coupled the parser LCFLEX with a lexicon and onto...
Elena Terenzi, Barbara Di Eugenio
133
Voted
ACL
2010
15 years 1 months ago
Improving Chinese Semantic Role Labeling with Rich Syntactic Features
Developing features has been shown crucial to advancing the state-of-the-art in Semantic Role Labeling (SRL). To improve Chinese SRL, we propose a set of additional features, some...
Weiwei Sun