@inproceedings{ec0fea108e4d46f7be9b0b44a7280af2,
title = "Sense-aware semantic analysis: A multi-prototype word representation model using wikipedia",
abstract = "Human languages are naturally ambiguous, which makes it difficult to automatically understand the semantics of text. Most vector space models (VSM) treat all occurrences of a word as the same and build a single vector to represent the meaning of a word, which fails to capture any ambiguity. We present sense-aware semantic analysis (SaSA), a multi-prototype VSM for word representation based on Wikipedia, which could account for homonymy and polysemy. The {"}sense-specific{"} prototypes of a word are produced by clustering Wikipedia pages based on both local and global contexts of the word in Wikipedia. Experimental evaluation on semantic relatedness for both isolated words and words in sentential contexts and word sense induction demonstrate its effectiveness.",
author = "Zhaohui Wu and Giles, {C. Lee}",
note = "Publisher Copyright: {\textcopyright} Copyright 2015, Association for the Advancement of Artificial Intelligence (www.aaa1.org). All rights reserved.; 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015 ; Conference date: 25-01-2015 Through 30-01-2015",
year = "2015",
month = jun,
day = "1",
language = "English (US)",
series = "Proceedings of the National Conference on Artificial Intelligence",
publisher = "AI Access Foundation",
pages = "2188--2194",
booktitle = "Proceedings of the 29th AAAI Conference on Artificial Intelligence, AAAI 2015 and the 27th Innovative Applications of Artificial Intelligence Conference, IAAI 2015",
address = "United States",
}