@inproceedings{kiselev-etal-2016-eliminating,
    title = "Eliminating Fuzzy Duplicates in Crowdsourced Lexical Resources",
    author = "Kiselev, Yuri  and
      Ustalov, Dmitry  and
      Porshnev, Sergey",
    editor = "Fellbaum, Christiane  and
      Vossen, Piek  and
      Mititelu, Verginica Barbu  and
      Forascu, Corina",
    booktitle = "Proceedings of the 8th Global WordNet Conference (GWC)",
    month = "27--30 " # jan,
    year = "2016",
    address = "Bucharest, Romania",
    publisher = "Global Wordnet Association",
    url = "https://preview.aclanthology.org/ingest-emnlp/2016.gwc-1.25/",
    pages = "162--168",
    abstract = "Collaboratively created lexical resources is a trending approach to creating high quality thesauri in a short time span at a remarkably low price. The key idea is to invite non-expert participants to express and share their knowledge with the aim of constructing a resource. However, this approach tends to be noisy and error-prone, thus making data cleansing a highly topical task to perform. In this paper, we study different techniques for synset deduplication including machine- and crowd-based ones. Eventually, we put forward an approach that can solve the deduplication problem fully automatically, with the quality comparable to the expert-based approach."
}