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Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2005 / Cilt: 5 - Sayı: 2

Determining effective features for word sense disambiguation in Turkish

Zeynep ALTAN
Zeynep ORHAN
Pages
1341–1352
Publication Date
2022-10-18
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The observations indicated that detecting the critical features can contribute much thanthe contribution of using various current learning methodologies.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Word sense disambiguation is necessary or at least helpful for many natural language processing applications.
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Key Findings & Data:This paper deals with the feature selection strategies for word sense disambiguation task in general for all types of words in Turkish language.
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Conclusion & Impact:The observations indicated that detecting the critical features can contribute much thanthe contribution of using various current learning methodologies.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Word sense disambiguation is necessary or at least helpful for many natural language processing applications. This paper deals with the feature selection strategies for word sense disambiguation task in general for all types of words in Turkish language. There are many different features that can contribute to the meaning of a word. These features can vary according to the metaphorical usages, POS of the word, etc. The observations indicated that detecting the critical features can contribute much thanthe contribution of using various current learning methodologies.

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Cite This Article

ALTAN, Z., ORHAN, Z. (2022). Determining effective features for word sense disambiguation in Turkish. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 5 - Sayı: 2, 1341–1352. https://ajindex.com/articles/543848

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