Transformer-based Detection of Multiword Expressions in Flower and Plant Names

Premasiri, Damith and Haddad, Amal Haddad and Ranasinghe, Tharindu and Mitkov, Ruslan (2022) Transformer-based Detection of Multiword Expressions in Flower and Plant Names. Other. Arxiv.

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Abstract

Multiword expression (MWE) is a sequence of words which collectively present a meaning which is not derived from its individual words. The task of processing MWEs is crucial in many natural language processing (NLP) applications, including machine translation and terminology extraction. Therefore, detecting MWEs in different domains is an important research topic. In this paper, we explore state-of-the-art neural transformers in the task of detecting MWEs in flower and plant names. We evaluate different transformer models on a dataset created from Encyclopedia of Plants and Flower. We empirically show that transformer models outperform the previous neural models based on long short-term memory (LSTM).

Item Type:
Monograph (Other)
Additional Information:
Submitted to The 5th Workshop on Multi-word Units in Machine Translation and Translation Technology at Europhras2022
Uncontrolled Keywords:
Research Output Funding/no_not_funded
Subjects:
?? cs.clno - not funded ??
ID Code:
220374
Deposited By:
Deposited On:
24 May 2024 13:30
Refereed?:
No
Published?:
Published
Last Modified:
25 May 2024 05:35