@inproceedings{61b8c29e7d624965aaa247e823844e1d,
title = "Combining local and global features in supervised word sense disambiguation",
abstract = "Word Sense Disambiguation (WSD) is a task to identify the sense of a polysemy in given context. Recently, word embeddings are applied to WSD, as additional input features of a supervised classifier. However, previous approaches narrowly use word embeddings to represent surrounding words of target words. They may not make sufficient use of word embeddings in representing different features like dependency relations, word order and global contexts (the whole document). In this work, we combine local and global features to perform WSD. We explore utilizing word embeddings to leverage word order and dependency features. We also use word embeddings to represent global contexts as global features. We conduct experiments to evaluate our methods and find out that our methods outperform the state-of-the-art methods on Lexical Sample WSD datasets.",
keywords = "Natural language processing, Word embeddings, Word sense disambiguation",
author = "Xue Lei and Yi Cai and Qing Li and Haoran Xie and Leung, {Ho fung} and Wang, {Fu Lee}",
year = "2017",
month = jan,
day = "1",
doi = "10.1007/978-3-319-68786-5_10",
language = "English",
isbn = "9783319687858",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "117--131",
editor = "Weijia Jia and Andrey Klimenko and Fedor Dzerzhinskiy and Klimenko, {Stanislav V.} and Lu Chen and Qing Li and Yunjun Gao and Athman Bouguettaya and Xiangliang Zhang",
booktitle = "Web Information Systems Engineering – WISE 2017 - 18th International Conference, Proceedings",
note = "18th International Conference on Web Information Systems Engineering, WISE 2017 ; Conference date: 07-10-2017 Through 11-10-2017",
}