113 citations · 368 across the 39 of their papers we have counts for
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Evaluating the application of NLP tools in mainstream participatory budgeting processes in Scotland
Jonathan Davies, Miguel Arana-Catania, Rob Procter +2
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. This is epito…
Evaluation of Abstractive Summarisation Models with Machine Translation in Deliberative Processes
M. Arana-Catania, Rob Procter, Yulan He +1
We present work on summarising deliberative processes for non-English languages. Unlike commonly studied datasets, such as news articles, this deliberation dataset reflects difficu…
A mixed-methods ethnographic approach to participatory budgeting in Scotland
Jonathan Davies, M. Arana-Catania, Rob Procter +2
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 mainstr…
Supervised Contrastive Learning for Multimodal Unreliable News Detection in COVID-19 Pandemic
Wenjia Zhang, Lin Gui, Yulan He
As the digital news industry becomes the main channel of information dissemination, the adverse impact of fake news is explosively magnified. The credibility of a news report shoul…
Extracting Event Temporal Relations via Hyperbolic Geometry
Xingwei Tan, Gabriele Pergola, Yulan He
Detecting events and their evolution through time is a crucial task in natural language understanding. Recent neural approaches to event temporal relation extraction typically map…
A Query-Driven Topic Model
Zheng Fang, Yulan He, Rob Procter
Topic modeling is an unsupervised method for revealing the hidden semantic structure of a corpus. It has been increasingly widely adopted as a tool in the social sciences, includin…
Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact Verification
Jiasheng Si, Deyu Zhou, Tongzhe Li +2
Fact verification is a challenging task that requires simultaneously reasoning and aggregating over multiple retrieved pieces of evidence to evaluate the truthfulness of a claim. E…
Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection
Lixing Zhu, Gabriele Pergola, Lin Gui +2
Emotion detection in dialogues is challenging as it often requires the identification of thematic topics underlying a conversation, the relevant commonsense knowledge, and the intr…
Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction
Hanqi Yan, Lin Gui, Gabriele Pergola +1
The Emotion Cause Extraction (ECE)} task aims to identify clauses which contain emotion-evoking information for a particular emotion expressed in text. We observe that a widely-use…
Code Structure Guided Transformer for Source Code Summarization
Shuzheng Gao, Cuiyun Gao, Yulan He +4
Code summaries help developers comprehend programs and reduce their time to infer the program functionalities during software maintenance. Recent efforts resort to deep learning te…
Citizen Participation and Machine Learning for a Better Democracy
M. Arana-Catania, F. A. Van Lier, Rob Procter +4
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. In this article,…