no code implementations • LREC 2022 • Thomas Green, Diana Maynard, Chenghua Lin
We present the development of a benchmark suite consisting of an annotation schema, training corpus and baseline model for Entity Recognition (ER) in job descriptions, published under a Creative Commons license.
1 code implementation • 6 Nov 2023 • Matt Canute, Mali Jin, hannah holtzclaw, Alberto Lusoli, Philippa R Adams, Mugdha Pandya, Maite Taboada, Diana Maynard, Wendy Hui Kyong Chun
Agonism plays a vital role in democratic dialogue by fostering diverse perspectives and robust discussions.
no code implementations • 25 Sep 2023 • Mali Jin, Yida Mu, Diana Maynard, Kalina Bontcheva
The use of abusive language online has become an increasingly pervasive problem that damages both individuals and society, with effects ranging from psychological harm right through to escalation to real-life violence and even death.
no code implementations • 9 Apr 2023 • Ye Jiang, Xiaomin Yu, Yimin Wang, Xiaoman Xu, Xingyi Song, Diana Maynard
First, we incorporate prompt learning into multimodal fake news detection.
no code implementations • 5 Jun 2020 • Xingyi Song, Johann Petrak, Ye Jiang, Iknoor Singh, Diana Maynard, Kalina Bontcheva
The explosion of disinformation accompanying the COVID-19 pandemic has overloaded fact-checkers and media worldwide, and brought a new major challenge to government responses worldwide.
no code implementations • SEMEVAL 2019 • Ye Jiang, Johann Petrak, Xingyi Song, Kalina Bontcheva, Diana Maynard
This paper describes the participation of team {``}bertha-von-suttner{''} in the SemEval2019 task 4 Hyperpartisan News Detection task.
1 code implementation • 29 Jan 2018 • Leon Derczynski, Kenny Meesters, Kalina Bontcheva, Diana Maynard
Messages are filtered for informativeness based on a definition of the concept drawn from prior research and crisis response experts.
no code implementations • WS 2017 • Ye Jiang, Xingyi Song, Jackie Harrison, Shaun Quegan, Diana Maynard
Preliminary analysis identifies clearly different attitudes on the same issue presented in different news sources.
no code implementations • LREC 2016 • Diana Maynard, Kalina Bontcheva
This paper discusses the challenges in carrying out fair comparative evaluations of sentiment analysis systems.
1 code implementation • LREC 2016 • Leon Derczynski, Jannik Str{\"o}tgen, Diana Maynard, Mark A. Greenwood, Manuel Jung
GATE is a widely used open-source solution for text processing with a large user community.
no code implementations • 27 Oct 2014 • Leon Derczynski, Diana Maynard, Giuseppe Rizzo, Marieke van Erp, Genevieve Gorrell, Raphaël Troncy, Johann Petrak, Kalina Bontcheva
Applying natural language processing for mining and intelligent information access to tweets (a form of microblog) is a challenging, emerging research area.
no code implementations • LREC 2014 • Diana Maynard, Mark Greenwood
Sarcasm is a common phenomenon in social media, and is inherently difficult to analyse, not just automatically but often for humans too.
no code implementations • LREC 2012 • Diana Maynard, Mark A. Greenwood
This paper describes a tool developed to improve access to the enormous volume of data housed at the UK's National Archives, both for the general public and for specialist researchers.