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» Unsupervised Natural Language Processing Using Graph Models
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EMNLP
2010
15 years 7 days 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 23 hour 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...
AAAI
2006
15 years 3 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
EDOC
2009
IEEE
15 years 6 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
15 years 9 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...