2021-08-06
Conference Publishing
Tyler Bikaun
Authors: Tyler Bikaun Tim French, Melinda Hodkiewicz, Michael Stewart and Wei Liu
Publication
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
pages 212-219
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, pages 212-219 August 1-6, 2021. ©2021 Association for Computational Linguistics
Quality Indicators
Peer Reviewed
Relevance to the Centre
This work is related to the research completed in Research theme 1. The paper addresses a gap in lexical normalisation research which consists of an absence of large-scale annotated corpora and scalable, task-specific tools for their construction. To fill this gap, Bikaun et al introduce LexiClean, an annotation tool for multi-task lexical normalisation that is:
i. Rapid: Enables fast corpus wide multi-task annotation.
ii. Flexible: Supports 1:1 and 1:N token normalisation.
iii. Intuitive: Maintains a simple and easy-to-use interface.
iv. Dynamic: Permits organic schema development during annotation.
LexiClean is positioned to enable future annotation efforts to support the development of the next generation of lexical normalisation algorithms and systems. Future work will focus on converting LexiClean from a single user tool to one that supports multi-user collaborative annotation akin to the current generation of token-level annotation tools
