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» Unsupervised Natural Language Processing Using Graph Models
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EMNLP
2010
15 years 4 months ago
Turbo Parsers: Dependency Parsing by Approximate Variational Inference
We present a unified view of two state-of-theart non-projective dependency parsers, both approximate: the loopy belief propagation parser of Smith and Eisner (2008) and the relaxe...
André F. T. Martins, Noah A. Smith, Eric P....
EACL
2009
ACL Anthology
15 years 4 months ago
Improving Grammaticality in Statistical Sentence Generation: Introducing a Dependency Spanning Tree Algorithm with an Argument S
like text summarisation requires a means of producing novel summary sentences. In order to improve the grammaticality of the generated sentence, we model a global (sentence) level...
Stephen Wan, Mark Dras, Robert Dale, Cécile...
157
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AAAI
2006
15 years 7 months ago
Unsupervised Order-Preserving Regression Kernel for Sequence Analysis
In this work, a generalized method for learning from sequence of unlabelled data points based on unsupervised order-preserving regression is proposed. Sequence learning is a funda...
Young-In Shin
207
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EDOC
2009
IEEE
15 years 10 months ago
Process SEER: A Tool for Semantic Effect Annotation of Business Process Models
A key challenge in devising solutions to a range of problems associated with business process management: process life cycle management, compliance management, enterprise process ...
Kerry Hinge, Aditya K. Ghose, George Koliadis
ICASSP
2009
IEEE
16 years 1 months ago
Exploiting user feedback for language model adaptation in meeting recognition
We investigate language model (LM) adaptation in a meeting recognition application, where the LM is adapted based on recognition output from relevant prior meetings and partial ma...
Dimitra Vergyri, Andreas Stolcke, Gökhan T&uu...