Luis Nieto Piña

Also published as: Luis Nieto-Piña


2018

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Automatically Linking Lexical Resources with Word Sense Embedding Models
Luis Nieto-Piña | Richard Johansson
Proceedings of the Third Workshop on Semantic Deep Learning

Automatically learnt word sense embeddings are developed as an attempt to refine the capabilities of coarse word embeddings. The word sense representations obtained this way are, however, sensitive to underlying corpora and parameterizations, and they might be difficult to relate to formally defined word senses. We propose to tackle this problem by devising a mechanism to establish links between word sense embeddings and lexical resources created by experts. We evaluate the applicability of these links in a task to retrieve instances of word sense unlisted in the lexicon.

2017

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Training Word Sense Embeddings With Lexicon-based Regularization
Luis Nieto-Piña | Richard Johansson
Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)

We propose to improve word sense embeddings by enriching an automatic corpus-based method with lexicographic data. Information from a lexicon is introduced into the learning algorithm’s objective function through a regularizer. The incorporation of lexicographic data yields embeddings that are able to reflect expert-defined word senses, while retaining the robustness, high quality, and coverage of automatic corpus-based methods. These properties are observed in a manual inspection of the semantic clusters that different degrees of regularizer strength create in the vector space. Moreover, we evaluate the sense embeddings in two downstream applications: word sense disambiguation and semantic frame prediction, where they outperform simpler approaches. Our results show that a corpus-based model balanced with lexicographic data learns better representations and improve their performance in downstream tasks.

2016

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Embedding Senses for Efficient Graph-based Word Sense Disambiguation
Luis Nieto Piña | Richard Johansson
Proceedings of TextGraphs-10: the Workshop on Graph-based Methods for Natural Language Processing

2015

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A Simple and Efficient Method to Generate Word Sense Representations
Luis Nieto Piña | Richard Johansson
Proceedings of the International Conference Recent Advances in Natural Language Processing

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Embedding a Semantic Network in a Word Space
Richard Johansson | Luis Nieto Piña
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

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Combining Relational and Distributional Knowledge for Word Sense Disambiguation
Richard Johansson | Luis Nieto Piña
Proceedings of the 20th Nordic Conference of Computational Linguistics (NODALIDA 2015)

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Here be dragons? The perils and promises of inter-resource lexical-semantic mapping
Lars Borin | Luis Nieto Piña | Richard Johansson
Proceedings of the workshop on Semantic resources and semantic annotation for Natural Language Processing and the Digital Humanities at NODALIDA 2015