Detection of Verbal Multi-Word Expressions via Conditional Random Fields with Syntactic Dependency Features and Semantic Re-Ranking
Alfredo Maldonado, Lifeng Han, Erwan Moreau, Ashjan Alsulaimani, Koel Dutta Chowdhury, Carl Vogel, Qun Liu
Abstract
A description of a system for identifying Verbal Multi-Word Expressions (VMWEs) in running text is presented. The system mainly exploits universal syntactic dependency features through a Conditional Random Fields (CRF) sequence model. The system competed in the Closed Track at the PARSEME VMWE Shared Task 2017, ranking 2nd place in most languages on full VMWE-based evaluation and 1st in three languages on token-based evaluation. In addition, this paper presents an option to re-rank the 10 best CRF-predicted sequences via semantic vectors, boosting its scores above other systems in the competition. We also show that all systems in the competition would struggle to beat a simple lookup baseline system and argue for a more purpose-specific evaluation scheme.- Anthology ID:
 - W17-1715
 - Volume:
 - Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017)
 - Month:
 - April
 - Year:
 - 2017
 - Address:
 - Valencia, Spain
 - Editors:
 - Stella Markantonatou, Carlos Ramisch, Agata Savary, Veronika Vincze
 - Venue:
 - MWE
 - SIG:
 - SIGLEX
 - Publisher:
 - Association for Computational Linguistics
 - Note:
 - Pages:
 - 114–120
 - Language:
 - URL:
 - https://aclanthology.org/W17-1715
 - DOI:
 - 10.18653/v1/W17-1715
 - Cite (ACL):
 - Alfredo Maldonado, Lifeng Han, Erwan Moreau, Ashjan Alsulaimani, Koel Dutta Chowdhury, Carl Vogel, and Qun Liu. 2017. Detection of Verbal Multi-Word Expressions via Conditional Random Fields with Syntactic Dependency Features and Semantic Re-Ranking. In Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017), pages 114–120, Valencia, Spain. Association for Computational Linguistics.
 - Cite (Informal):
 - Detection of Verbal Multi-Word Expressions via Conditional Random Fields with Syntactic Dependency Features and Semantic Re-Ranking (Maldonado et al., MWE 2017)
 - PDF:
 - https://preview.aclanthology.org/ingest-acl-2023-videos/W17-1715.pdf