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EMNLP
2009
14 years 9 months ago
Semi-supervised Semantic Role Labeling Using the Latent Words Language Model
Semantic Role Labeling (SRL) has proved to be a valuable tool for performing automatic analysis of natural language texts. Currently however, most systems rely on a large training...
Koen Deschacht, Marie-Francine Moens
NLDB
2000
Springer
15 years 3 months ago
Natural Language Analysis for Semantic Document Modeling
To ease the retrieval of documents published on the Web, the documents should be classified in a way that users find helpful and meaningful. This paper presents an approach to sema...
Terje Brasethvik, Jon Atle Gulla
EMNLP
2010
14 years 10 months ago
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
EACL
2009
ACL Anthology
16 years 14 days ago
Re-Ranking Models for Spoken Language Understanding
Spoken Language Understanding aims at mapping a natural language spoken sentence into a semantic representation. In the last decade two main approaches have been pursued: generati...
Marco Dinarelli, Alessandro Moschitti, Giuseppe Ri...
ICASSP
2009
IEEE
15 years 6 months ago
Leveraging multiple query logs to improve language models for spoken query recognition
A voice search system requires a speech interface that can correctly recognize spoken queries uttered by users. The recognition performance strongly relies on a robust language mo...
Xiao Li, Patrick Nguyen, Geoffrey Zweig, Dan Bohus