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Toward an Integrative Approach for Making Sense Distinctions
John P McCrae1, Theodorus Fransen1, Sina Ahmadi1
1Data Science Institute, National University of Ireland Galway, Galway, Ireland.
Frontiers in Artificial Intelligence
|February 24, 2022
Summary
Dictionaries struggle to agree on word senses. This study proposes an integrated methodology for creating validated word sense catalogues, crucial for natural language processing (NLP).
Area of Science:
- Lexicography
- Computational Linguistics
- Natural Language Processing (NLP)
Background:
- Disagreement among dictionaries on word sense definitions is common.
- Growing demand for validated word sense catalogues due to advancements in NLP.
- Lack of a consensus methodology for creating such catalogues.
Purpose of the Study:
- To evaluate four main approaches to word sense distinction: formal, cognitive, distributional, and intercultural.
- To explore the potential for combining these approaches into a unified methodology.
- To address the need for a principled method for sense distinctions.
Main Methods:
- Analysis of four distinct approaches to word sense disambiguation.
- Examination of the strengths and weaknesses inherent in each approach.
- Application of these approaches to the English words 'wing' and 'fish' using existing resources.
Main Results:
- Identified limitations and weaknesses within each of the four individual approaches.
- Demonstrated the challenges in achieving consensus on word senses.
- Highlighted the necessity of an integrated approach for robust sense cataloguing.
Conclusions:
- An integrated methodology is essential for creating reliable word sense catalogues.
- Further research is required to develop a principled and universally accepted method for sense distinctions.
- This work provides a foundation for future advancements in computational lexicography.
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