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» An algorithm for recognition of n-collapsing words
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KDD
2010
ACM
218views Data Mining» more  KDD 2010»
15 years 9 months ago
Online multiscale dynamic topic models
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, N...
ECML
2003
Springer
15 years 11 months ago
A Hybrid Language Model based on Stochastic Context-free Grammars
Abstract. This paper explores the use of initial Stochastic Context-Free Grammars (SCFG) obtained from a treebank corpus for the learning of SCFG by means of estimation algorithms....
Diego Linares, José-Miguel Benedí, J...
DAS
2006
Springer
15 years 9 months ago
Aligning Transcripts to Automatically Segmented Handwritten Manuscripts
Abstract. Training and evaluation of techniques for handwriting recognition and retrieval is a challenge given that it is difficult to create large ground-truthed datasets. This is...
Jamie L. Rothfeder, R. Manmatha, Toni M. Rath
DAC
2005
ACM
16 years 6 months ago
Hardware speech recognition for user interfaces in low cost, low power devices
We propose a system architecture for real-time hardware speech recognition on low-cost, power-constrained devices. The system is intended to support real-time speech-based user in...
Sergiu Nedevschi, Rabin K. Patra, Eric A. Brewer
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
16 years 16 days ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...