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EACL
2006
ACL Anthology
13 years 9 months ago
Adaptive Transformation-Based Learning for Improving Dictionary Tagging
We present an adaptive technique that enables users to produce a high quality dictionary parsed into its lexicographic components (headwords, pronunciations, parts of speech, tran...
Burcu Karagol-Ayan, David S. Doermann, Amy Weinber...
ACL
1998
13 years 9 months ago
Learning Constraint Grammar-style Disambiguation Rules using Inductive Logic Programming
This paper reports a pilot study, in which Constraint Grammar inspiredruleswere learnt using the Progol machine-learning system. Rules discarding faulty readings of ambiguously ta...
Nikolaj Lindberg, Martin Eineborg
ACL
1998
13 years 9 months ago
Dialogue Act Tagging with Transformation-Based Learning
For the task of recognizing dialogue acts, we are applying the Transformation-Based Learning (TBL) machine learning algorithm. To circumvent a sparse data problem, we extract valu...
Ken Samuel, Sandra Carberry, K. Vijay-Shanker
CVPR
2010
IEEE
14 years 4 months ago
Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning
We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classification). Existing multi-class a...
Behjat Siddiquie, Abhinav Gupta
MIR
2010
ACM
264views Multimedia» more  MIR 2010»
14 years 2 months ago
Quest for relevant tags using local interaction networks and visual content
Typical tag recommendation systems for photos shared on social networks such as Flickr, use visual content analysis, collaborative filtering or personalization strategies to prod...
Neela Sawant, Ritendra Datta, Jia Li, James Ze Wan...