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Identification of Adjective-Noun Neologisms using Pretrained Language Models

Insight>Publications>Identification of Adjective-Noun Neologisms using Pretrained Language Models

Authors:

John McCrae

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:

Linked Data

Institution:

National University of Ireland, Galway (NUIG)

Open access repository:

Yes

Publication document:

mccrae2019identification.pdf

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