Similarity-based methods for word sense disambiguation
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
On robustness and domain adaptation using SVD for word sense disambiguation
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
SENSEVAL-2 Japanese dictionary task
SENSEVAL '01 The Proceedings of the Second International Workshop on Evaluating Word Sense Disambiguation Systems
RALI: Automatic weighting of text window distances
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
JAIST: Clustering and classification based approaches for Japanese WSD
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
SemEval '10 Proceedings of the 5th International Workshop on Semantic Evaluation
Towards an optimal weighting of context words based on distance
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
A quick tour of word sense disambiguation, induction and related approaches
SOFSEM'12 Proceedings of the 38th international conference on Current Trends in Theory and Practice of Computer Science
Joining forces pays off: multilingual joint word sense disambiguation
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Word Sense Disambiguation by Combining Labeled Data Expansion and Semi-Supervised Learning Method
ACM Transactions on Asian Language Information Processing (TALIP)
Latent word context model for information retrieval
Information Retrieval
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An overview of the SemEval-2 Japanese WSD task is presented. It is a lexical sample task, and word senses are defined according to a Japanese dictionary, the Iwanami Kokugo Jiten. This dictionary and a training corpus were distributed to participants. The number of target words was 50, with 22 nouns, 23 verbs, and 5 adjectives. Fifty instances of each target word were provided, consisting of a total of 2,500 instances for the evaluation. Nine systems from four organizations participated in the task.