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LMMS reloaded: Transformer-based sense embeddings for disambiguation and beyond

  • Published:2022-04 Issue: Volume:305 Page:103661
  • ISSN:0004-3702
  • Container-title:Artificial Intelligence
  • language:en
  • Short-container-title:Artificial Intelligence

Author:

Loureiro DanielORCID,Mário Jorge AlípioORCID,Camacho-Collados Jose

Funder

UK Research and Innovation

European Commission

Fundacao para a Ciencia e a Tecnologia

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference128 articles.

1. Story realization: expanding plot events into sentences;Ammanabrolu,2020

2. SemEval-2020 task 3: graded word similarity in context;Armendariz,2020

3. CoSimLex: a resource for evaluating graded word similarity in context;Armendariz,2020

4. Probabilistic FastText for multi-sense word embeddings;Athiwaratkun,2018

5. ConSeC: word sense disambiguation as continuous sense comprehension;Barba,2021

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1. Reversal of the Word Sense Disambiguation Task Using a Deep Learning Model;Applied Sciences;2024-06-26

2. Transformer-Based Word Sense Disambiguation: Advancements, Impact, and Future Directions;2023 Eleventh International Conference on Intelligent Computing and Information Systems (ICICIS);2023-11-21

3. The Contribution of Selected Linguistic Markers for Unsupervised Arabic Verb Sense Disambiguation;ACM Transactions on Asian and Low-Resource Language Information Processing;2023-08-24

4. A method for constructing word sense embeddings based on word sense induction;Scientific Reports;2023-08-09

5. The Rise of Conscious Consumers: The Cash Flow Implications of Corporate Workplace Equality;SSRN Electronic Journal;2022
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