18 citations · 39 across the 10 of their papers we have counts for
14 papers · 1 filter
Can AI Extract Antecedent Factors of Human Trust in AI? An Application of Information Extraction for Scientific Literature in Behavioural and Computer Sciences
Melanie McGrath, Harrison Bailey, Necva Bölücü +3
Information extraction from the scientific literature is one of the main techniques to transform unstructured knowledge hidden in the text into structured data which can then be us…
A Critical Look at Meta-evaluating Summarisation Evaluation Metrics
Xiang Dai, Sarvnaz Karimi, Biaoyan Fang
Effective summarisation evaluation metrics enable researchers and practitioners to compare different summarisation systems efficiently. Estimating the effectiveness of an automatic…
MultiADE: A Multi-domain Benchmark for Adverse Drug Event Extraction
Xiang Dai, Sarvnaz Karimi, Abeed Sarker +2
Active adverse event surveillance monitors Adverse Drug Events (ADE) from different data sources, such as electronic health records, medical literature, social media and search eng…
Identifying Health Risks from Family History: A Survey of Natural Language Processing Techniques
Xiang Dai, Sarvnaz Karimi, Nathan O'Callaghan
Electronic health records include information on patients' status and medical history, which could cover the history of diseases and disorders that could be hereditary. One importa…
Detecting Entities in the Astrophysics Literature: A Comparison of Word-based and Span-based Entity Recognition Methods
Xiang Dai, Sarvnaz Karimi
Information Extraction from scientific literature can be challenging due to the highly specialised nature of such text. We describe our entity recognition methods developed as part…
An Exploration of Hierarchical Attention Transformers for Efficient Long Document Classification
Ilias Chalkidis, Xiang Dai, Manos Fergadiotis +2
Non-hierarchical sparse attention Transformer-based models, such as Longformer and Big Bird, are popular approaches to working with long documents. There are clear benefits to thes…