Credibility signals represent a wide range of heuristics that are typica...
Adapters and Low-Rank Adaptation (LoRA) are parameter-efficient fine-tun...
The task of retrieving already debunked narratives aims to detect storie...
Online social media is rife with offensive and hateful comments, prompti...
Efficient utilisation of both intra- and extra-textual context remains o...
Instruction-tuned Large Language Models (LLMs) have exhibited impressive...
The COVID-19 pandemic led to an infodemic where an overwhelming amount o...
Personalisation of language models for dialogue sensitises them to bette...
Considering a conversation thread, stance classification aims to identif...
This paper describes our approach for SemEval-2023 Task 3: Detecting the...
Vaccine hesitancy has been a common concern, probably since vaccines wer...
This paper compares quantitatively the spread of Ukraine-related
disinfo...
Lay summarisation aims to jointly summarise and simplify a given text, t...
COVID-19 vaccine hesitancy is widespread, despite governments' informati...
This paper describes the second-placed system on the leaderboard of
SemE...
Deep neural models, in particular Transformer-based pre-trained language...
This paper describes the SLT-CDT-UoS group's submission to the first Spe...
Unlike English, morphologically rich languages can reveal characteristic...
This paper presents the shared task on Multilingual Idiomaticity Detecti...
Tokenisation is the first step in almost all NLP tasks, and state-of-the...
Despite their success in a variety of NLP tasks, pre-trained language mo...
The onset of the Coronavirus disease 2019 (COVID-19) pandemic instigated...
The spreading COVID-19 misinformation over social media already draws th...
The Coronavirus (COVID-19) pandemic has led to a rapidly growing `infode...
Hate speech and toxic comments are a common concern of social media plat...
Stance classification can be a powerful tool for understanding whether a...
In order to simplify a sentence, human editors perform multiple rewritin...
Devising metrics to assess translation quality has always been at the co...
We introduce EASSE, a Python package aiming to facilitate and standardis...
A popular application of machine translation (MT) is gisting: MT is cons...