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Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
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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
PubMed
Summary
This summary is machine-generated.

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).

Keywords:
cognitive semanticsdistributional semanticsgenerative lexiconlexicographymultilingualitysemanticsword senseswordnets

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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.