Implementing systemic classification by unification
Computational Linguistics
The logic of typed feature structures
The logic of typed feature structures
Statistical Language Learning
Graded unification: a framework for interactive processing
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Learning log-linear models on constraint-based grammars for disambiguation
Learning language in logic
Stochastic attribute-value grammars
Computational Linguistics
Lexical rules in constraint-based grammars
Computational Linguistics
Research on architectures for integrated speech/language systems in Verbmobil
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
A generative probability model for unification-based grammars
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Learning feature-value grammars from plain text
NeMLaP3/CoNLL '98 Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning
A reconfigurable stochastic tagger for languages with complex tag structure
MorphSlav '03 Proceedings of the 2003 EACL Workshop on Morphological Processing of Slavic Languages
Negation elimination for finite PCFGs
LOPSTR'04 Proceedings of the 14th international conference on Logic Based Program Synthesis and Transformation
Semantic separator learning and its applications in unsupervised Chinese text parsing
Frontiers of Computer Science: Selected Publications from Chinese Universities
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In this paper we provide a probabilistic interpretation for typed feature structures very similar to those used by Pollard and Sag. We begin with a version of the interpretation which lacks a treatment of re-entrant feature structures, then provide an extended interpretation which allows them. We sketch algorithms allowing the numerical parameters of our probabilistic interpretations of HPSG to be estimated from corpora.