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James Ravenscroft
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2020 – today
- 2022
- [b1]James Ravenscroft:
Natural language processing methods for detecting and measuring the impact of scientific work beyond academia. University of Warwick, Coventry, UK, 2022 - [c7]Matthew Maufe, James Ravenscroft, Rob Procter, Maria Liakata
:
A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering. EMNLP (Demos) 2022: 80-97 - [i3]Matthew Maufe, James Ravenscroft, Rob Procter, Maria Liakata:
A Pipeline for Generating, Annotating and Employing Synthetic Data for Real World Question Answering. CoRR abs/2211.16971 (2022) - 2021
- [c6]James Ravenscroft, Amanda Clare
, Arie Cattan, Ido Dagan, Maria Liakata
:
CD\^2CR: Co-reference resolution across documents and domains. EACL 2021: 270-280 - [i2]James Ravenscroft, Arie Cattan, Amanda Clare, Ido Dagan, Maria Liakata:
CD2CR: Co-reference Resolution Across Documents and Domains. CoRR abs/2101.12637 (2021) - 2020
- [i1]James Ravenscroft, Amanda Clare, Maria Liakata:
Measuring prominence of scientific work in online news as a proxy for impact. CoRR abs/2007.14454 (2020)
2010 – 2019
- 2019
- [c5]Aljoscha Steffens, Antonio Campello, James Ravenscroft, Adrian F. Clark, Hani Hagras:
Deep Segmentation: using Deep Convolutional Networks for Coral Reef pixel-wise Parsing. CLEF (Working Notes) 2019 - 2018
- [c4]James Ravenscroft, Amanda Clare, Maria Liakata:
HarriGT: A Tool for Linking News to Science. ACL (4) 2018: 19-24 - 2016
- [j1]Daniel Duma, Ewan Klein, Maria Liakata
, James Ravenscroft
, Amanda Clare
:
Rhetorical Classification of Anchor Text for Citation Recommendation. D Lib Mag. 22(9/10) (2016) - [c3]Daniel Duma, Maria Liakata, Amanda Clare, James Ravenscroft, Ewan Klein:
Applying Core Scientific Concepts to Context-Based Citation Recommendation. LREC 2016 - [c2]James Ravenscroft, Anika Oellrich, Shyamasree Saha, Maria Liakata:
Multi-label Annotation in Scientific Articles - The Multi-label Cancer Risk Assessment Corpus. LREC 2016 - 2013
- [c1]James Ravenscroft
, Maria Liakata
, Amanda Clare
:
Partridge: An Effective System for the Automatic Cassification of the Types of Academic Papers. SGAI Conf. 2013: 351-358
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