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Words in Time and Place: Exploring Language Through the Historical Thesaurus of the Oxford English Dictionary

By David Crystal

Offers a unique view of the English language and its development, and includes witty commentary and anecdotes along the way.


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Thesaurus of English Words and Phrases

By Peter Mark Roget

This book "supplies a vocabulary of English words and idiomatic phrases 'arranged … according to the ideas which they express'. The thesaurus, continually expanded and updated, has always remained in print, but this reissued first edition shows the impressive breadth of Roget's own knowledge and interests."


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The Brill Dictionary of Ancient Greek

By Franco Montanari

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Academic Paper


Title: Building Instance Knowledge Network for Word Sense Disambiguation
Paper URL: http://www.ict.swin.edu.au/personal/shu/acsc2011.pdf
Author: Shangfeng Hu
Email: click here to access email
Author: Chengfei Liu
Email: click here to access email
Institution: Swinburne University of Technology
Author: Xiaohui Zhao
Email: click here to access email
Institution: Eindhoven University of Technology
Author: Marek Kowalkiewicz
Email: click here to access email
Institution: SAP Research
Linguistic Field: Computational Linguistics; Semantics
Subject Language: English
Abstract: In this paper, a new high precision focused WSD approach is proposed, which not only attempts to identify the proper sense for a word but also provides the probabilistic/L/evaluation for the identification confidence at the same time. A novel Instance Knowledge Network (IKN) is built to generate and maintain semantic knowledge at the word, type synonym set and instance levels. Related algorithms based on graph matching are developed to train IKN with probabilistic knowledge and to use IKN for probabilistic word sense disambiguation. Based on the Senseval-3 all-words task, we run extensive experiments to show the performance enhancements in different precision ranges and the rationality of probabilistic based automatic confidence evaluation of disambiguation. We combine our WSD algorithm with five best WSD algorithms in senseval-3 all words tasks. The results show that the combined algorithms all outperform the corresponding/L/algorithms.
Type: Individual Paper
Status: Completed
Venue: 2011 Australasian Computer Science Conference (ACSC 2011)
URL: http://www.ict.swin.edu.au/personal/shu/acsc2011.pdf


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