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» Using Three Way Data for Word Sense Discrimination
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LREC
2010
162views Education» more  LREC 2010»
13 years 7 months ago
Construction of a Benchmark Data Set for Cross-lingual Word Sense Disambiguation
Given the recent trend to evaluate the performance of word sense disambiguation systems in a more application-oriented set-up, we report on the construction of a multilingual benc...
Els Lefever, Véronique Hoste
AIME
2001
Springer
13 years 10 months ago
Using Part-of-Speech and Word-Sense Disambiguation for Boosting String-Edit Distance Spelling Correction
Abstract. We report on the design of a system for correcting spelling errors resulting in non-existent words. The system aims at improving edition of medical reports. Unlike tradit...
Patrick Ruch, Robert H. Baud, Antoine Geissbü...
AAAI
2006
13 years 6 months ago
Kernel Methods for Word Sense Disambiguation and Acronym Expansion
The scarcity of manually labeled data for supervised machine learning methods presents a significant limitation on their ability to acquire knowledge. The use of kernels in Suppor...
Mahesh Joshi, Ted Pedersen, Richard Maclin, Sergue...
ACL
2008
13 years 7 months ago
Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data
This paper provides evidence that the use of more unlabeled data in semi-supervised learning can improve the performance of Natural Language Processing (NLP) tasks, such as part-o...
Jun Suzuki, Hideki Isozaki
PR
2010
170views more  PR 2010»
13 years 3 months ago
Sparsity preserving projections with applications to face recognition
: Dimensionality reduction methods (DRs) have commonly been used as a principled way to understand the high-dimensional data such as face images. In this paper, we propose a new un...
Lishan Qiao, Songcan Chen, Xiaoyang Tan