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» Learning with Annotation Noise
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111
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ACL
2003
15 years 4 months ago
Self-Organizing Markov Models and Their Application to Part-of-Speech Tagging
This paper presents a method to develop a class of variable memory Markov models that have higher memory capacity than traditional (uniform memory) Markov models. The structure of...
Jin-Dong Kim, Hae-Chang Rim, Jun-ichi Tsujii
133
Voted
NAACL
2003
15 years 4 months ago
Towards Emotion Prediction in Spoken Tutoring Dialogues
Human tutors detect and respond to student emotional states, but current machine tutors do not. Our preliminary machine learning experiments involving transcription, emotion annot...
Diane J. Litman, Katherine Forbes, Scott Silliman
124
Voted
ANLP
1997
116views more  ANLP 1997»
15 years 4 months ago
A Maximum Entropy Approach to Identifying Sentence Boundaries
We present a trainable model for identifying sentence boundaries in raw text. Given a corpus annotated with sentence boundaries, our model learns to classify each occurrence of., ...
Jeffrey C. Reynar, Adwait Ratnaparkhi
120
Voted
IJCAI
1997
15 years 4 months ago
Is Nonparametric Learning Practical in Very High Dimensional Spaces?
Many of the challenges faced by the £eld of Computational Intelligence in building intelligent agents, involve determining mappings between numerous and varied sensor inputs and ...
Gregory Z. Grudic, Peter D. Lawrence
WWW
2009
ACM
16 years 4 months ago
Automatically assessing resource quality for educational digital libraries
With the rise of community-generated web content, the need for automatic assessment of resource quality has grown, particularly in the realm of educational digital libraries. We d...
Philipp G. Wetzler, Steven Bethard, Kirsten R. But...