2 citations · 4 across the 9 of their papers we have counts for
4 papers · 1 filter
Use of Transformer-Based Models for Word-Level Transliteration of the Book of the Dean of Lismore
Edward Gow-Smith, Mark McConville, William Gillies +2
The Book of the Dean of Lismore (BDL) is a 16th-century Scottish Gaelic manuscript written in a non-standard orthography. In this work, we outline the problem of transliterating th…
SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding
Harish Tayyar Madabushi, Edward Gow-Smith, Marcos Garcia +3
This paper presents the shared task on Multilingual Idiomaticity Detection and Sentence Embedding, which consists of two subtasks: (a) a binary classification task aimed at identif…
Sample Efficient Approaches for Idiomaticity Detection
Dylan Phelps, Xuan-Rui Fan, Edward Gow-Smith +3
Deep neural models, in particular Transformer-based pre-trained language models, require a significant amount of data to train. This need for data tends to lead to problems when de…
Improving Tokenisation by Alternative Treatment of Spaces
Edward Gow-Smith, Harish Tayyar Madabushi, Carolina Scarton +1
Tokenisation is the first step in almost all NLP tasks, and state-of-the-art transformer-based language models all use subword tokenisation algorithms to process input text. Existi…