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» Using Types to Parse Natural Language
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NAACL
2007
13 years 9 months ago
Semi-Supervised Learning for Semantic Parsing using Support Vector Machines
We present a method for utilizing unannotated sentences to improve a semantic parser which maps natural language (NL) sentences into their formal meaning representations (MRs). Gi...
Rohit J. Kate, Raymond J. Mooney
EMNLP
2009
13 years 6 months ago
Feature-Rich Translation by Quasi-Synchronous Lattice Parsing
We present a machine translation framework that can incorporate arbitrary features of both input and output sentences. The core of the approach is a novel decoder based on lattice...
Kevin Gimpel, Noah A. Smith
CICLING
2005
Springer
13 years 10 months ago
Lexicalized Beam Thresholding Parsing with Prior and Boundary Estimates
We use prior and boundary estimates as the approximation of outside probability and establish our beam thresholding strategies based on these estimates. Lexical items, e.g. head wo...
Deyi Xiong, Qun Liu, Shouxun Lin
EACL
1993
ACL Anthology
13 years 9 months ago
Parsing the Wall Street Journal with the Inside-Outside Algorithm
We report grammar inference experiments on partially parsed sentences taken from the Wall Street Journal corpus using the inside-outside algorithm for stochastic context-free gram...
Yves Schabes, Michal Roth, Randy Osborne
POPL
1995
ACM
13 years 12 months ago
Compiling Polymorphism Using Intensional Type Analysis
Traditional techniques for implementing polymorphism use a universal representation for objects of unknown type. Often, this forces a compiler to use universal representations eve...
Robert Harper, J. Gregory Morrisett