Embeddings for Word Sense Disambiguation: An Evaluation Study

@inproceedings{Iacobacci2016EmbeddingsFW,
  title={Embeddings for Word Sense Disambiguation: An Evaluation Study},
  author={Ignacio Iacobacci and Mohammad Taher Pilehvar and R. Navigli},
  booktitle={ACL},
  year={2016}
}
Recent years have seen a dramatic growth in the popularity of word embeddings mainly owing to their ability to capture semantic information from massive amounts of textual content. As a result, many tasks in Natural Language Processing have tried to take advantage of the potential of these distributional models. In this work, we study how word embeddings can be used in Word Sense Disambiguation, one of the oldest tasks in Natural Language Processing and Artificial Intelligence. We propose… Expand
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