Neural Word Sense Disambiguation (WSD) Algorithm

A Neural Word Sense Disambiguation (WSD) Algorithm is a supervised WSD algorithm that is a neural classification algorithm.

• Context:
  • It can be implemented by a Neural WSD System (that solves a neural WSD task).
  • …
• Counter-Example(s):
  • a SVM-based WSD Algorithm.
• See: Neural Text Classification Algorithm.

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References

2016

• (Iacobacci et al., 2016) ⇒ Ignacio Iacobacci, Mohammad Taher Pilehvar, and Roberto Navigli. (2016). “Embeddings for Word Sense Disambiguation: An Evaluation Study.” In: Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-2016).

• (Kågebäck & Salomonsson, 2016) ⇒ Mikael Kågebäck, and Hans Salomonsson. (2016). “Word Sense Disambiguation Using a Bidirectional LSTM.” In: Proceedings of COLING 2016 (COLING 2016).

2015

• (Taghipour & Ng, 2015) ⇒ Kaveh Taghipour, and Hwee Tou Ng. (2015). “Semi-supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains.” In: Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

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