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SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours
Free accessArXiv | 2017| -
Emerging language technologies and the rediscovery of the past: a research agenda
Springer Verlag | 2005| -
Emerging language technologies and the rediscovery of the past: a research agenda
Online Contents | 2005| -
Emerging language technologies and the rediscovery of the past: a research agenda
Online Contents | 2005| -
Using Deep Neural Networks with Intra- and Inter-Sentence Context to Classify Suicidal Behaviour
Free accessTIBKAT | 2020| -
Discourse-aware rumour stance classification in social media using sequential classifiers
British Library Online Contents | 2018| -
Linguistic Analysis Model for Monitoring User Reaction on Satirical News for Brazilian Portuguese
British Library Conference Proceedings | 2020| -
Linguistic Analysis Model for Monitoring User Reaction on Satirical News for Brazilian Portuguese
Springer Verlag | 2020| -
Local Media and Geo-situated Responses to Brexit: A Quantitative Analysis of Twitter, News and Survey Data
Free accessArXiv | 2019| -
Access to Multimedia Information through Multisource and Multilanguage Information Extraction
Springer Verlag | 2002| -
Generalisation in named entity recognition: A quantitative analysis
Online Contents | 2017|Contributors: Bontcheva, Kalina
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