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» Natural and Flexible Error Recovery for Generated Parsers
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NAACL
1994
13 years 6 months ago
Recent Improvements in the CMU Spoken Language Understanding System
We have been developing a spoken language system to recognize and understand spontaneous speech. It is difficult for such systems to achieve good coverage of the lexicon and gramm...
Wayne Ward, Sunil Issar
ACL
2008
13 years 6 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...
POPL
2003
ACM
14 years 5 months ago
From symptom to cause: localizing errors in counterexample traces
There is significant room for improving users' experiences with model checking tools. An error trace produced by a model checker can be lengthy and is indicative of a symptom...
Thomas Ball, Mayur Naik, Sriram K. Rajamani
CVPR
2010
IEEE
14 years 1 months ago
A Generative Perspective on MRFs in Low-Level Vision
Markov random fields (MRFs) are popular and generic probabilistic models of prior knowledge in low-level vision. Yet their generative properties are rarely examined, while applica...
Uwe Schmidt, Qi Gao, Stefan Roth
IJCNLP
2005
Springer
13 years 10 months ago
Parsing the Penn Chinese Treebank with Semantic Knowledge
Abstract. We build a class-based selection preference sub-model to incorporate external semantic knowledge from two Chinese electronic semantic dictionaries. This sub-model is comb...
Deyi Xiong, Shuanglong Li, Qun Liu, Shouxun Lin, Y...