NDLI: Building up Lexical Sample Dataset for Turkish Word Sense Disambiguation

Content Provider	IEEE Xplore Digital Library
Author	Ilgen, B. Adali, E. Tantug, A.C.
Copyright Year	2012
Description	Author affiliation: Computer Engineering Department, Istanbul Kültür University, Istanbul, Turkey (Ilgen, B.) \|\| Computer and Informatics Faculty, Istanbul Technical University, Istanbul, Turkey (Adali, E.; Tantug, A.C.)
Abstract	Word Sense Disambiguation (WSD) has become even more important research area in recent years with the widespread usage of Natural Language Processing (NLP) applications. WSD task has two variants: “Lexical Sample” and “All Words” approaches. Lexical Sample approach disambiguates the occurrences of a small sample of target words that were previously selected, while in the latter all the words in a piece of text are disambiguated. In the scope of this work, a Lexical Sample Dataset for Turkish has been prepared. As a first step, highly ambiguous words in Turkish have been selected. Collection of text samples for chosen words has been completed. Five taggers have annotated the word senses. This paper summarizes the step-by-step building-up process of a Lexical Sample Dataset in Turkish and presents the results of some experiments on it.
Starting Page	1
Ending Page	5
File Size	1018366
Page Count	5
File Format	PDF
ISBN	9781467314466
e-ISBN	9781467314480
DOI	10.1109/INISTA.2012.6247026
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-02
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Feature Selection Dictionaries Accuracy Buildings Lexical Sample Humans Natural Language Processing Educational institutions Word Sense Disambiguation Natural language processing Reliability Machine Learning
Content Type	Text
Resource Type	Article

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