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» Feature Forest Models for Probabilistic HPSG Parsing
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NAACL
2003
13 years 6 months ago
Sentence Level Discourse Parsing using Syntactic and Lexical Information
We introduce two probabilistic models that can be used to identify elementary discourse units and build sentence-level discourse parse trees. The models use syntactic and lexical ...
Radu Soricut, Daniel Marcu
EMNLP
2007
13 years 6 months ago
Dependency Parsing and Domain Adaptation with LR Models and Parser Ensembles
We present a data-driven variant of the LR algorithm for dependency parsing, and extend it with a best-first search for probabilistic generalized LR dependency parsing. Parser act...
Kenji Sagae, Jun-ichi Tsujii
EMNLP
2008
13 years 6 months ago
Learning with Probabilistic Features for Improved Pipeline Models
We present a novel learning framework for pipeline models aimed at improving the communication between consecutive stages in a pipeline. Our method exploits the confidence scores ...
Razvan C. Bunescu
ESSLLI
1999
Springer
13 years 9 months ago
Towards Discontinuous Grammar
This paper presents a grammar formalism in which constituent graphs are unions of a continuous surface tree and a discontinuous deep tree. The formalism has an object-oriented desi...
Matthias T. Kromann
CVPR
1998
IEEE
14 years 7 months ago
Action Recognition Using Probabilistic Parsing
A new approach to the recognition of temporal behaviors and activities is presented. The fundamental idea, inspired by work in speech recognition, is to divide the inference probl...
Aaron F. Bobick, Yuri A. Ivanov