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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 11 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
14 years 2 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 11 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 11 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 8 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