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Identification of Adjective-Noun Neologisms using Pretrained Language Models

Authors: 
Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
Neologism detection is a key task in the constructing of lexical resources and has wider implications for NLP, however the identification of multiword neologisms has received little attention. In this paper, we show that we can effectively identify the distinction between compositional and non-compositional adjective-noun pairs by using pretrained language models and comparing this with individual word embeddings. Our results show that the use of these models significantly improves over baseline linguistic features, however the combination with linguistic features still further improves the results, suggesting the strength of a hybrid approach.
Conference Name: 
Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019) at ACL 2019
Digital Object Identifer (DOI): 
10.18653/v1/w19-5116
Publication Date: 
02/08/2019
Conference Location: 
Italy
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
Yes
Publication document: