Year: 2015
Type: conference-paper
Abstract: This paper describes the Twitter lexical normalization system submitted by IHS R&D Belarus team for the ACL 2015 workshop on noisy user-generated text.The proposed system consists of two components: a CRFbased approach to identify possible normalization candidates, and a post-processing step in an attempt to normalize words that do not have normalization variants in the lexicon.Evaluation on the test data set showed that our unconstrained system achieved the Fmeasure of 0.8272 (rank 1 out of 5 submissions for the unconstrained mode, rank 2 out of all 11 submissions).
DOI: 10.18653/v1/w15-4311
Authors: Dmitry Supranovich, Viachaslau Patsepnia
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2250409328