USzeged: Identifying Verbal Multiword Expressions with POS Tagging and Parsing Techniques

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.

• Publication year

  2017

• Venue

  MWE@EACL

• Publication date

  2017-04-01

• Fields of study

  Linguistics, Computer Science

• Identifiers
  DOI 10.18653/v1/W17-1705
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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