@inproceedings{zosa-etal-2020-comparison,
    title = "A Comparison of Unsupervised Methods for Ad hoc Cross-Lingual Document Retrieval",
    author = "Zosa, Elaine  and
      Granroth-Wilding, Mark  and
      Pivovarova, Lidia",
    editor = "McKeown, Kathy  and
      Oard, Douglas W.  and
      Elizabeth  and
      Schwartz, Richard",
    booktitle = "Proceedings of the workshop on Cross-Language Search and Summarization of Text and Speech (CLSSTS2020)",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://preview.aclanthology.org/ingest_wac_2008/2020.clssts-1.6/",
    pages = "32--37",
    language = "eng",
    ISBN = "979-10-95546-55-9",
    abstract = "We address the problem of linking related documents across languages in a multilingual collection. We evaluate three diverse unsupervised methods to represent and compare documents: (1) multilingual topic model; (2) cross-lingual document embeddings; and (3) Wasserstein distance. We test the performance of these methods in retrieving news articles in Swedish that are known to be related to a given Finnish article. The results show that ensembles of the methods outperform the stand-alone methods, suggesting that they capture complementary characteristics of the documents"
}