@inproceedings{jimenez-etal-2017-rufino,
    title = "{RUFINO} at {S}em{E}val-2017 Task 2: Cross-lingual lexical similarity by extending {PMI} and word embeddings systems with a {S}wadesh`s-like list",
    author = "Jimenez, Sergio  and
      Due{\~n}as, George  and
      Gaitan, Lorena  and
      Segura, Jorge",
    editor = "Bethard, Steven  and
      Carpuat, Marine  and
      Apidianaki, Marianna  and
      Mohammad, Saif M.  and
      Cer, Daniel  and
      Jurgens, David",
    booktitle = "Proceedings of the 11th International Workshop on Semantic Evaluation ({S}em{E}val-2017)",
    month = aug,
    year = "2017",
    address = "Vancouver, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/add-emnlp-2024-awards/S17-2037/",
    doi = "10.18653/v1/S17-2037",
    pages = "239--244",
    abstract = "The RUFINO team proposed a non-supervised, conceptually-simple and low-cost approach for addressing the Multilingual and Cross-lingual Semantic Word Similarity challenge at SemEval 2017. The proposed systems were cross-lingual extensions of popular monolingual lexical similarity approaches such as PMI and word2vec. The extensions were possible by means of a small parallel list of concepts similar to the Swadesh`s list, which we obtained in a semi-automatic way. In spite of its simplicity, our approach showed to be effective obtaining statistically-significant and consistent results in all datasets proposed for the task. Besides, we provide some research directions for improving this novel and affordable approach."
}