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SIGDIAL
2010
13 years 2 months ago
Comparing Local and Sequential Models for Statistical Incremental Natural Language Understanding
Incremental natural language understanding is the task of assigning semantic representations to successively larger prefixes of utterances. We compare two types of statistical mod...
Silvan Heintze, Timo Baumann, David Schlangen
ACL
2006
13 years 6 months ago
Exploiting Non-Local Features for Spoken Language Understanding
In this paper, we exploit non-local features as an estimate of long-distance dependencies to improve performance on the statistical spoken language understanding (SLU) problem. Th...
Minwoo Jeong, Gary Geunbae Lee
ACL
2006
13 years 6 months ago
Combining Statistical and Knowledge-Based Spoken Language Understanding in Conditional Models
Spoken Language Understanding (SLU) addresses the problem of extracting semantic meaning conveyed in an utterance. The traditional knowledge-based approach to this problem is very...
Ye-Yi Wang, Alex Acero, Milind Mahajan, John Lee
CICLING
2010
Springer
13 years 11 months ago
A Sequential Model for Discourse Segmentation
Identifying discourse relations in a text is essential for various tasks in Natural Language Processing, such as automatic text summarization, question-answering, and dialogue gene...
Hugo Hernault, Danushka Bollegala, Mitsuru Ishizuk...
JMLR
2010
143views more  JMLR 2010»
12 years 11 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov