4 citations · 19 across the 26 of their papers we have counts for
26 papers
ClinQueryAgent: A Conversational Agent for Population Health Management
Joseph S. Boyle, Anthony Dranfield, Mike O'Neil +2
In this paper we introduce ClinQueryAgent, a system for translating natural language population health questions into executable database queries using agents with access to both l…
LiFT: How to Enable In-Context Learning for Longitudinal Modelling
Iqra Ali, Talia Tseriotou, Mahmud Elahi Akhter +2
Longitudinal NLP tasks such as mental health monitoring and stance evolution require modeling temporally ordered text to track persistence and detect change. Such tasks also suffer…
Responsible Evaluation of AI for Mental Health
Hiba Arnaout, Anmol Goel, H. Andrew Schwartz +13
Although artificial intelligence (AI) shows growing promise for mental health care, current approaches to evaluating AI tools in this domain remain fragmented and poorly aligned wi…
Automated Data Enrichment using Confidence-Aware Fine-Grained Debate among Open-Source LLMs for Mental Health and Online Safety
Junyu Mao, Anthony Hills, Talia Tseriotou +8
Real-world indicators play an important role in many Natural Language Processing (NLP) applications, such as life events for mental health analysis and risky behaviours for online…
Investigating LLM Capabilities on Long Context Comprehension for Medical Question Answering
Feras AlMannaa, Talia Tseriotou, Jenny Chim +1
This study is the first to investigate LLM comprehension capabilities over long-context (LC), clinically relevant medical Question Answering (QA) beyond MCQA. Our comprehensive app…
Temporal reasoning for timeline summarisation in social media
Jiayu Song, Mahmud Elahi Akhter, Dana Atzil Slonim +1
This paper explores whether enhancing temporal reasoning capabilities in Large Language Models (LLMs) can improve the quality of timeline summarisation, the task of summarising lon…
Large language models for mental health
Andreas Triantafyllopoulos, Yannik Terhorst, Iosif Tsangko +10
Digital technologies have long been explored as a complement to standard procedure in mental health research and practice, ranging from the management of electronic health records…
TempoFormer: A Transformer for Temporally-aware Representations in Change Detection
Talia Tseriotou, Adam Tsakalidis, Maria Liakata
Dynamic representation learning plays a pivotal role in understanding the evolution of linguistic content over time. On this front both context and time dynamics as well as their i…
Less for More: Enhanced Feedback-aligned Mixed LLMs for Molecule Caption Generation and Fine-Grained NLI Evaluation
Dimitris Gkoumas, Maria Liakata
Scientific language models drive research innovation but require extensive fine-tuning on large datasets. This work enhances such models by improving their inference and evaluation…
Generating Zero-shot Abstractive Explanations for Rumour Verification
Iman Munire Bilal, Preslav Nakov, Rob Procter +1
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. While previous work has focused…
Combining Hierachical VAEs with LLMs for clinically meaningful timeline summarisation in social media
Jiayu Song, Jenny Chim, Adam Tsakalidis +3
We introduce a hybrid abstractive summarisation approach combining hierarchical VAE with LLMs (LlaMA-2) to produce clinically meaningful summaries from social media user timelines,…
Assessing the Reasoning Capabilities of LLMs in the context of Evidence-based Claim Verification
John Dougrez-Lewis, Mahmud Elahi Akhter, Federico Ruggeri +3
Although LLMs have shown great performance on Mathematics and Coding related reasoning tasks, the reasoning capabilities of LLMs regarding other forms of reasoning are still an ope…
Sig-Networks Toolkit: Signature Networks for Longitudinal Language Modelling
Talia Tseriotou, Ryan Sze-Yin Chan, Adam Tsakalidis +4
We present an open-source, pip installable toolkit, Sig-Networks, the first of its kind for longitudinal language modelling. A central focus is the incorporation of Signature-based…
Automated clinical coding using off-the-shelf large language models
Joseph S. Boyle, Antanas Kascenas, Pat Lok +2
The task of assigning diagnostic ICD codes to patient hospital admissions is typically performed by expert human coders. Efforts towards automated ICD coding are dominated by super…
Reformulating NLP tasks to Capture Longitudinal Manifestation of Language Disorders in People with Dementia
Dimitris Gkoumas, Matthew Purver, Maria Liakata
Dementia is associated with language disorders which impede communication. Here, we automatically learn linguistic disorder patterns by making use of a moderately-sized pre-trained…
A Digital Language Coherence Marker for Monitoring Dementia
Dimitris Gkoumas, Adam Tsakalidis, Maria Liakata
The use of spontaneous language to derive appropriate digital markers has become an emergent, promising and non-intrusive method to diagnose and monitor dementia. Here we propose m…
Creation and evaluation of timelines for longitudinal user posts
Anthony Hills, Adam Tsakalidis, Federico Nanni +2
There is increasing interest to work with user generated content in social media, especially textual posts over time. Currently there is no consistent way of segmenting user posts…
Unsupervised Opinion Summarisation in the Wasserstein Space
Jiayu Song, Iman Munire Bilal, Adam Tsakalidis +2
Opinion summarisation synthesises opinions expressed in a group of documents discussing the same topic to produce a single summary. Recent work has looked at opinion summarisation…
Template-based Abstractive Microblog Opinion Summarisation
Iman Munire Bilal, Bo Wang, Adam Tsakalidis +3
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. The dataset contai…
Personalised recommendations of sleep behaviour with neural networks using sleep diaries captured in Sleepio
Alejo Nevado-Holgado, Colin Espie, Maria Liakata +6
SleepioTM is a digital mobile phone and web platform that uses techniques from cognitive behavioural therapy (CBT) to improve sleep in people with sleep difficulty. As part of this…
Identifying Moments of Change from Longitudinal User Text
Adam Tsakalidis, Federico Nanni, Anthony Hills +3
Identifying changes in individuals' behaviour and mood, as observed via content shared on online platforms, is increasingly gaining importance. Most research to-date on this topic…
Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims
M. Arana-Catania, Elena Kochkina, Arkaitz Zubiaga +3
We present a comprehensive work on automated veracity assessment from dataset creation to developing novel methods based on Natural Language Inference (NLI), focusing on misinforma…
A Longitudinal Multi-modal Dataset for Dementia Monitoring and Diagnosis
Dimitris Gkoumas, Bo Wang, Adam Tsakalidis +4
Dementia affects cognitive functions of adults, including memory, language, and behaviour. Standard diagnostic biomarkers such as MRI are costly, whilst neuropsychological tests su…
Evaluation of Thematic Coherence in Microblogs
Iman Munire Bilal, Bo Wang, Maria Liakata +2
Collecting together microblogs representing opinions about the same topics within the same timeframe is useful to a number of different tasks and practitioners. A major question is…