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ICML
2000
IEEE
16 years 6 months ago
Maximum Entropy Markov Models for Information Extraction and Segmentation
Hidden Markov models (HMMs) are a powerful probabilistic tool for modeling sequential data, and have been applied with success to many text-related tasks, such as part-of-speech t...
Andrew McCallum, Dayne Freitag, Fernando C. N. Per...
ICASSP
2009
IEEE
16 years 10 days ago
A flat direct model for speech recognition
We introduce a direct model for speech recognition that assumes an unstructured, i.e., flat text output. The flat model allows us to model arbitrary attributes and dependences o...
Georg Heigold, Geoffrey Zweig, Xiao Li, Patrick Ng...
CW
2002
IEEE
15 years 10 months ago
Adaptive Content Model for Multimedia Presentation
Multimedia presentation systems require flexible support for the modeling of multimedia content models. Many presentation systems provide the synchronized, sequential or concurren...
L. Y. Deng, R.-X. Chen, R.-C. Chang, T.-S. Huang
136
Voted
NBIS
2009
Springer
15 years 10 months ago
Analysis of Web Alert Models
act— Web alerts are user-defined monitor conditions for public Internet information in which notification messages are sent to users whenever their alert conditions are met. The ...
Jameela Al-Jaroodi, Nader Mohamed
152
Voted
LREC
2010
146views Education» more  LREC 2010»
15 years 7 months ago
Online Temporal Language Model Adaptation for a Thai Broadcast News Transcription System
This paper investigates the effectiveness of online temporal language model adaptation when applied to a Thai broadcast news transcription task. Our adaptation scheme works as fol...
Kwanchiva Saykham, Ananlada Chotimongkol, Chai Wut...