no code implementations • NLP4DH (ICON) 2021 • Gechuan Zhang, David Lillis, Paul Nulty
Our case study focuses on: the comparison of general pre-training and domain pre-training; the generalisability of different domain pre-trained transformers; and the potential of merging general pre-training with domain pre-training.
no code implementations • 20 Jun 2023 • Yogesh Bansal, David Lillis, Mohand Tahar Kechadi
We showed that it outperforms the existing ML models.
1 code implementation • 27 Feb 2022 • Gechuan Zhang, Paul Nulty, David Lillis
In this paper, we provide a broad study of both classic and contextual embedding models and their performance on practical case law from the European Court of Human Rights (ECHR).
1 code implementation • 7 Dec 2021 • Congcong Wang, David Lillis
In recent years, the task of mining important information from social media posts during crises has become a focus of research for the purposes of assisting emergency response (ES).
1 code implementation • 15 Oct 2021 • Congcong Wang, Paul Nulty, David Lillis
In this paper, we investigate how this prior knowledge can be best leveraged for new crises by examining the extent to which crisis events of a similar type are more suitable for adaptation to new events (cross-domain adaptation).
1 code implementation • 15 Oct 2021 • Congcong Wang, Paul Nulty, David Lillis
Social media has enabled people to circulate information in a timely fashion, thus motivating people to post messages seeking help during crisis situations.
no code implementations • 26 Feb 2021 • Congcong Wang, David Lillis
Based on this approach, we submitted several runs to the track.
no code implementations • 2 Dec 2020 • Felix Anda, Brett A. Becker, David Lillis, Nhien-An Le-Khac, Mark Scanlon
Swift response to the detection of endangered minors is an ongoing concern for law enforcement.
no code implementations • SEMEVAL 2020 • Paul Nulty, David Lillis
This paper describes the UCD system entered for SemEval 2020 Task 1: Unsupervised Lexical Semantic Change Detection.
1 code implementation • EMNLP (WNUT) 2020 • Congcong Wang, David Lillis
The objective of this task is to extract answers from COVID-related tweets to a set of predefined slot-filling questions.
no code implementations • 2 Jul 2019 • Felix Anda, David Lillis, Aikaterini Kanta, Brett A. Becker, Elias Bou-Harb, Nhien-An Le-Khac, Mark Scanlon
Achieving high performance for facial age estimation with subjects in the borderline between adulthood and non-adulthood has always been a challenge.
no code implementations • 30 Sep 2014 • David Lillis, Fergus Toolan, Rem Collier, John Dunnion
Data fusion is the combination of the results of independent searches on a document collection into one single output result set.