1 code implementation • 30 Nov 2022 • Matthew Maufe, James Ravenscroft, Rob Procter, Maria Liakata
Question Answering (QA) is a growing area of research, often used to facilitate the extraction of information from within documents.
no code implementations • EACL 2021 • James Ravenscroft, Amanda Clare, Arie Cattan, Ido Dagan, Maria Liakata
Cross-document co-reference resolution (CDCR) is the task of identifying and linking mentions to entities and concepts across many text documents.
1 code implementation • 29 Jan 2021 • James Ravenscroft, Arie Cattan, Amanda Clare, Ido Dagan, Maria Liakata
Cross-document co-reference resolution (CDCR) is the task of identifying and linking mentions to entities and concepts across many text documents.
no code implementations • 28 Jul 2020 • James Ravenscroft, Amanda Clare, Maria Liakata
We find that Impact Case studies submitted to the UK Research Excellence Framework (REF) 2014 that refer to scientific papers mentioned in newspaper articles were awarded a higher score in the REF assessment.
no code implementations • ACL 2018 • James Ravenscroft, Am Clare, a, Maria Liakata
Being able to reliably link scientific works to the newspaper articles that discuss them could provide a breakthrough in the way we rationalise and measure the impact of science on our society.
no code implementations • LREC 2016 • James Ravenscroft, Anika Oellrich, Shyamasree Saha, Maria Liakata
Here, we present the Multi-CoreSC CRA corpus, a text corpus specific to the domain of cancer risk assessment (CRA), consisting of 50 full text papers, each of which contains sentences annotated with one or more CoreSCs.
no code implementations • LREC 2016 • Daniel Duma, Maria Liakata, Am Clare, a, James Ravenscroft, Ewan Klein
The task of recommending relevant scientific literature for a draft academic paper has recently received significant interest.