no code implementations • LREC 2022 • James Barry, Joachim Wagner, Lauren Cassidy, Alan Cowap, Teresa Lynn, Abigail Walsh, Mícheál J. Ó Meachair, Jennifer Foster
We compare our gaBERT model to multilingual BERT and the monolingual Irish WikiBERT, and we show that gaBERT provides better representations for a downstream parsing task.
1 code implementation • ACL 2022 • Lauren Cassidy, Teresa Lynn, James Barry, Jennifer Foster
Modern Irish is a minority language lacking sufficient computational resources for the task of accurate automatic syntactic parsing of user-generated content such as tweets.
1 code implementation • 27 Jul 2021 • James Barry, Joachim Wagner, Lauren Cassidy, Alan Cowap, Teresa Lynn, Abigail Walsh, Mícheál J. Ó Meachair, Jennifer Foster
We compare our gaBERT model to multilingual BERT and the monolingual Irish WikiBERT, and we show that gaBERT provides better representations for a downstream parsing task.
1 code implementation • ACL (IWPT) 2021 • James Barry, Alireza Mohammadshahi, Joachim Wagner, Jennifer Foster, James Henderson
The task involves parsing Enhanced UD graphs, which are an extension of the basic dependency trees designed to be more facilitative towards representing semantic structure.
2 code implementations • WS 2020 • James Barry, Joachim Wagner, Jennifer Foster
Unfortunately, we did not ensure a connected graph as part of our pipeline approach and our competition submission relied on a last-minute fix to pass the validation script which harmed our official evaluation scores significantly.
1 code implementation • ACL 2020 • Joachim Wagner, James Barry, Jennifer Foster
A recent advance in monolingual dependency parsing is the idea of a treebank embedding vector, which allows all treebanks for a particular language to be used as training data while at the same time allowing the model to prefer training data from one treebank over others and to select the preferred treebank at test time.
1 code implementation • WS 2019 • James Barry, Joachim Wagner, Jennifer Foster
Finally, we apply multi-treebank modelling to the projected treebanks, in addition to or alternatively to polyglot modelling on the source side.
no code implementations • WS 2019 • Henry Elder, Jennifer Foster, James Barry, Alexander O'Connor
Generated output from neural NLG systems often contain errors such as hallucination, repetition or contradiction.