Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints

@article{Mrksic2017SemanticSO,
  title={Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints},
  author={Nikola Mrksic and Ivan Vulic and Diarmuid {\'O} S{\'e}aghdha and Ira Leviant and Roi Reichart and Milica Gasic and Anna Korhonen and Steve J. Young},
  journal={TACL},
  year={2017},
  volume={5},
  pages={309-324}
}
We present ATTRACT-REPEL, an algorithm for improving the semantic quality of word vectors by injecting constraints extracted from lexical resources. ATTRACT-REPEL facilitates the use of constraints from monoand crosslingual resources, yielding semantically specialized cross-lingual vector spaces. Our evaluation shows that the method can make use of existing cross-lingual lexicons to construct highquality vector spaces for a plethora of different languages, facilitating semantic transfer from… CONTINUE READING
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Retrofitting word vectors to semantic lexicons

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  • Proceedings of NAACL, pages 1606–1615.
  • 2015
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