@inproceedings{salle-villavicencio-2018-incorporating,
    title = "Incorporating Subword Information into Matrix Factorization Word Embeddings",
    author = "Salle, Alexandre  and
      Villavicencio, Aline",
    editor = {Faruqui, Manaal  and
      Sch{\"u}tze, Hinrich  and
      Trancoso, Isabel  and
      Tsvetkov, Yulia  and
      Yaghoobzadeh, Yadollah},
    booktitle = "Proceedings of the Second Workshop on Subword/Character {LE}vel Models",
    month = jun,
    year = "2018",
    address = "New Orleans",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/W18-1209/",
    doi = "10.18653/v1/W18-1209",
    pages = "66--71",
    abstract = "The positive effect of adding subword information to word embeddings has been demonstrated for predictive models. In this paper we investigate whether similar benefits can also be derived from incorporating subwords into counting models. We evaluate the impact of different types of subwords (n-grams and unsupervised morphemes), with results confirming the importance of subword information in learning representations of rare and out-of-vocabulary words."
}