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EMNLP
2011
12 years 7 months ago
Training dependency parsers by jointly optimizing multiple objectives
We present an online learning algorithm for training parsers which allows for the inclusion of multiple objective functions. The primary example is the extension of a standard sup...
Keith Hall, Ryan T. McDonald, Jason Katz-Brown, Mi...
ACL
2003
13 years 9 months ago
Probabilistic Parsing for German Using Sister-Head Dependencies
We present a probabilistic parsing model for German trained on the Negra treebank. We observe that existing lexicalized parsing models using head-head dependencies, while successf...
Amit Dubey, Frank Keller
25
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CORR
2000
Springer
110views Education» more  CORR 2000»
13 years 7 months ago
Efficient probabilistic top-down and left-corner parsing
This paper examines efficient predictive broadcoverage parsing without dynamic programming. In contrast to bottom-up methods, depth-first top-down parsing produces partial parses ...
Brian Roark, Mark Johnson
AAAI
2007
13 years 10 months ago
Two Approaches for Building an Unsupervised Dependency Parser and Their Other Applications
Much work has been done on building a parser for natural languages, but most of this work has concentrated on supervised parsing. Unsupervised parsing is a less explored area, and...
Jagadeesh Gorla, Amit Goyal, Rajeev Sangal
ACL
2004
13 years 9 months ago
Deep Dependencies from Context-Free Statistical Parsers: Correcting the Surface Dependency Approximation
We present a linguistically-motivated algorithm for reconstructing nonlocal dependency in broad-coverage context-free parse trees derived from treebanks. We use an algorithm based...
Roger Levy, Christopher D. Manning