no code implementations • NLP4DH (ICON) 2021 • Lama Alqazlan, Rob Procter, Michael Castelle
To address this, we use a computational grounded theory approach to analyse tutors’ discussions on Reddit.
1 code implementation • 23 Jan 2024 • Iman Munire Bilal, Preslav Nakov, Rob Procter, Maria Liakata
The task of rumour verification in social media concerns assessing the veracity of a claim on the basis of conversation threads that result from it.
1 code implementation • 16 May 2023 • Zheng Fang, Yulan He, Rob Procter
Most existing topic models rely on bag-of-words (BOW) representation, which limits their ability to capture word order information and leads to challenges with out-of-vocabulary (OOV) words in new documents.
1 code implementation • 5 May 2023 • Wenjia Zhang, Lin Gui, Rob Procter, Yulan He
To enhance the ability to find credible evidence in news articles, we propose a novel task of expert recommendation, which aims to identify trustworthy experts on a specific news topic.
no code implementations • 4 Apr 2023 • Zheng Fang, Lama Alqazlan, Du Liu, Yulan He, Rob Procter
Human-in-the-loop topic modelling incorporates users' knowledge into the modelling process, enabling them to refine the model iteratively.
no code implementations • 28 Feb 2023 • Runcong Zhao, Miguel Arana-Catania, Lixing Zhu, Elena Kochkina, Lin Gui, Arkaitz Zubiaga, Rob Procter, Maria Liakata, Yulan He
In this demo, we introduce a web-based misinformation detection system PANACEA on COVID-19 related claims, which has two modules, fact-checking and rumour detection.
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 • 29 Nov 2022 • Rob Procter, Peter Tolmie, Mark Rouncefield
We use these findings to enrich existing understandings of the requirements for trustworthy AI and to outline some candidate solutions to the problems of making AI accountable both to individual users and organisationally.
no code implementations • 27 Nov 2022 • Jiayu Song, Iman Munire Bilal, Adam Tsakalidis, Rob Procter, Maria Liakata
A Variational Autoencoder is used to get the distribution of documents/posts, and the distributions are disentangled into separate semantic and syntactic spaces.
no code implementations • 8 Aug 2022 • Iman Munire Bilal, Bo wang, Adam Tsakalidis, Dong Nguyen, Rob Procter, Maria Liakata
We introduce the task of microblog opinion summarisation (MOS) and share a dataset of 3100 gold-standard opinion summaries to facilitate research in this domain.
no code implementations • 23 Jul 2022 • M. Arana-Catania, F. A. Van Lier, Rob Procter
This development poses significant challenges for conflict mediation, as mediators struggle to make sense of conflict dynamics, such as the range of conflict parties and the evolution of their political positions, the distinction between relevant and less relevant actors in peace-making, or the identification of key conflict issues and their interdependence.
1 code implementation • NAACL 2022 • Lixing Zhu, Zheng Fang, Gabriele Pergola, Rob Procter, Yulan He
Building models to detect vaccine attitudes on social media is challenging because of the composite, often intricate aspects involved, and the limited availability of annotated data.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1
no code implementations • NAACL 2022 • M. Arana-Catania, Elena Kochkina, Arkaitz Zubiaga, Maria Liakata, Rob Procter, Yulan He
The dataset construction includes work on retrieval techniques and similarity measurements to ensure a unique set of claims.
no code implementations • 24 Jan 2022 • Lama Alqazlan, Rob Procter, Michael Castelle
To address this, we use a computational grounded theory approach to analyse tutors' discussions on Reddit.
no code implementations • 23 Nov 2021 • Jonathan Davies, Miguel Arana-Catania, Rob Procter, Felix-Anselm van Lier, Yulan He
In recent years participatory budgeting (PB) in Scotland has grown from a handful of community-led processes to a movement supported by local and national government.
no code implementations • EMNLP (newsum) 2021 • M. Arana-Catania, Rob Procter, Yulan He, Maria Liakata
We present work on summarising deliberative processes for non-English languages.
no code implementations • 20 Sep 2021 • Jonathan Davies, M. Arana-Catania, Rob Procter, F. A. Van Lier, Yulan He
Participatory budgeting (PB) is already well established in Scotland in the form of community led grant-making yet has recently transformed from a grass-roots activity to a mainstream process or embedded 'policy instrument'.
no code implementations • 26 Aug 2021 • M. Arana-Catania, F. A. Van Lier, Rob Procter
Apart from illustrating the potential of machine learning tools in conflict mediation, the paper also emphasises the importance of interdisciplinary and participatory research design for the development of context-sensitive and targeted tools and to ensure meaningful and responsible implementation.
no code implementations • ACL 2021 • Iman Munire Bilal, Bo wang, Maria Liakata, Rob Procter, Adam Tsakalidis
Here we create a corpus of microblog clusters from three different domains and time windows and define the task of evaluating thematic coherence.
no code implementations • Findings (ACL) 2021 • Zheng Fang, Yulan He, Rob Procter
Topic modeling is an unsupervised method for revealing the hidden semantic structure of a corpus.
no code implementations • 28 Feb 2021 • M. Arana-Catania, F. A. Van Lier, Rob Procter, Nataliya Tkachenko, Yulan He, Arkaitz Zubiaga, Maria Liakata
The development of democratic systems is a crucial task as confirmed by its selection as one of the Millennium Sustainable Development Goals by the United Nations.
no code implementations • 6 Dec 2017 • Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Isabelle Augenstein
We show that sequential classifiers that exploit the use of discourse properties in social media conversations while using only local features, outperform non-sequential classifiers.
no code implementations • IJCNLP 2017 • Bo Wang, Maria Liakata, Adam Tsakalidis, Spiros Georgakopoulos Kolaitis, Symeon Papadopoulos, Lazaros Apostolidis, Arkaitz Zubiaga, Rob Procter, Yiannis Kompatsiaris
We present a system for time sensitive, topic based summarisation of the sentiment around target entities and topics in collections of tweets.
no code implementations • 3 Apr 2017 • Arkaitz Zubiaga, Ahmet Aker, Kalina Bontcheva, Maria Liakata, Rob Procter
Despite the increasing use of social media platforms for information and news gathering, its unmoderated nature often leads to the emergence and spread of rumours, i. e. pieces of information that are unverified at the time of posting.
no code implementations • EACL 2017 • Bo Wang, Maria Liakata, Arkaitz Zubiaga, Rob Procter
Existing target-specific sentiment recognition methods consider only a single target per tweet, and have been shown to miss nearly half of the actual targets mentioned.
no code implementations • 27 Feb 2017 • Arkaitz Zubiaga, Bo wang, Maria Liakata, Rob Procter
Independence movements occur in territories whose citizens have conflicting national identities; users with opposing national identities will then support or oppose the sense of being part of an independent nation that differs from the officially recognised country.
2 code implementations • 24 Oct 2016 • Arkaitz Zubiaga, Maria Liakata, Rob Procter
In this paper we introduce a novel approach to rumour detection that learns from the sequential dynamics of reporting during breaking news in social media to detect rumours in new stories.
no code implementations • COLING 2016 • Arkaitz Zubiaga, Elena Kochkina, Maria Liakata, Rob Procter, Michal Lukasik
Rumour stance classification, the task that determines if each tweet in a collection discussing a rumour is supporting, denying, questioning or simply commenting on the rumour, has been attracting substantial interest.
no code implementations • 7 Sep 2016 • Michal Lukasik, Kalina Bontcheva, Trevor Cohn, Arkaitz Zubiaga, Maria Liakata, Rob Procter
Social media tend to be rife with rumours while new reports are released piecemeal during breaking news.
1 code implementation • 25 Apr 2016 • Arkaitz Zubiaga, Alex Voss, Rob Procter, Maria Liakata, Bo wang, Adam Tsakalidis
In contrast to much previous work that has focused on location classification of tweets restricted to a specific country, here we undertake the task in a broader context by classifying global tweets at the country level, which is so far unexplored in a real-time scenario.
no code implementations • LREC 2012 • William Black, Rob Procter, Steven Gray, Sophia Ananiadou
The analysis of a corpus of micro-blogs on the topic of the 2011 UK referendum about the Alternative Vote has been undertaken as a joint activity by text miners and social scientists.