@inproceedings{simko-etal-2017-uszeged,
    title = "{US}zeged: Identifying Verbal Multiword Expressions with {POS} Tagging and Parsing Techniques",
    author = "Simk{\'o}, Katalin Ilona  and
      Kov{\'a}cs, Vikt{\'o}ria  and
      Vincze, Veronika",
    editor = "Markantonatou, Stella  and
      Ramisch, Carlos  and
      Savary, Agata  and
      Vincze, Veronika",
    booktitle = "Proceedings of the 13th Workshop on Multiword Expressions ({MWE} 2017)",
    month = apr,
    year = "2017",
    address = "Valencia, Spain",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/W17-1705/",
    doi = "10.18653/v1/W17-1705",
    pages = "48--53",
    abstract = "The paper describes our system submitted for the Workshop on Multiword Expressions' shared task on automatic identification of verbal multiword expressions. It uses POS tagging and dependency parsing to identify single- and multi-token verbal MWEs in text. Our system is language independent and competed on nine of the eighteen languages. Our paper describes how our system works and gives its error analysis for the languages it was submitted for."
}