research
∙
09/14/2023
Detecting Misinformation with LLM-Predicted Credibility Signals and Weak Supervision
Credibility signals represent a wide range of heuristics that are typica...
share
research
∙
08/14/2023
Comparison between parameter-efficient techniques and full fine-tuning: A case study on multilingual news article classification
Adapters and Low-Rank Adaptation (LoRA) are parameter-efficient fine-tun...
research
∙
08/10/2023
Finding Already Debunked Narratives via Multistage Retrieval: Enabling Cross-Lingual, Cross-Dataset and Zero-Shot Learning
The task of retrieving already debunked narratives aims to detect storie...
research
∙
07/31/2023
Noisy Self-Training with Data Augmentations for Offensive and Hate Speech Detection Tasks
Online social media is rife with offensive and hateful comments, prompti...
research
∙
05/25/2023
MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine Translation
Efficient utilisation of both intra- and extra-textual context remains o...
research
∙
05/23/2023
Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science
Instruction-tuned Large Language Models (LLMs) have exhibited impressive...
research
∙
04/10/2023
A Large-Scale Comparative Study of Accurate COVID-19 Information versus Misinformation
The COVID-19 pandemic led to an infodemic where an overwhelming amount o...
research
∙
03/29/2023
Personalised Language Modelling of Screen Characters Using Rich Metadata Annotations
Personalisation of language models for dialogue sensitises them to bette...
research
∙
03/22/2023
Evaluating the Role of Target Arguments in Rumour Stance Classification
Considering a conversation thread, stance classification aims to identif...
research
∙
03/16/2023
Team SheffieldVeraAI at SemEval-2023 Task 3: Mono and multilingual approaches for news genre, topic and persuasion technique classification
This paper describes our approach for SemEval-2023 Task 3: Detecting the...
research
∙
01/17/2023
VaxxHesitancy: A Dataset for Studying Hesitancy Towards COVID-19 Vaccination on Twitter
Vaccine hesitancy has been a common concern, probably since vaccines wer...
research
∙
12/14/2022
Comparative Analysis of Engagement, Themes, and Causality of Ukraine-Related Debunks and Disinformation
This paper compares quantitatively the spread of Ukraine-related disinfo...
research
∙
10/18/2022
Making Science Simple: Corpora for the Lay Summarisation of Scientific Literature
Lay summarisation aims to jointly summarise and simplify a given text, t...
research
∙
07/18/2022
Classifying COVID-19 vaccine narratives
COVID-19 vaccine hesitancy is widespread, despite governments' informati...
research
∙
05/31/2022
GateNLP-UShef at SemEval-2022 Task 8: Entity-Enriched Siamese Transformer for Multilingual News Article Similarity
This paper describes the second-placed system on the leaderboard of SemE...
research
∙
05/23/2022
Sample Efficient Approaches for Idiomaticity Detection
Deep neural models, in particular Transformer-based pre-trained language...
research
∙
05/12/2022
Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022
This paper describes the SLT-CDT-UoS group's submission to the first Spe...
research
∙
05/10/2022
Controlling Extra-Textual Attributes about Dialogue Participants: A Case Study of English-to-Polish Neural Machine Translation
Unlike English, morphologically rich languages can reveal characteristic...
research
∙
04/21/2022
SemEval-2022 Task 2: Multilingual Idiomaticity Detection and Sentence Embedding
This paper presents the shared task on Multilingual Idiomaticity Detecti...
research
∙
04/08/2022
Improving Tokenisation by Alternative Treatment of Spaces
Tokenisation is the first step in almost all NLP tasks, and state-of-the...
research
∙
09/09/2021
AStitchInLanguageModels: Dataset and Methods for the Exploration of Idiomaticity in Pre-Trained Language Models
Despite their success in a variety of NLP tasks, pre-trained language mo...
research
∙
07/26/2021
The False COVID-19 Narratives That Keep Being Debunked: A Spatiotemporal Analysis
The onset of the Coronavirus disease 2019 (COVID-19) pandemic instigated...
research
∙
06/22/2021
Categorising Fine-to-Coarse Grained Misinformation: An Empirical Study of COVID-19 Infodemic
The spreading COVID-19 misinformation over social media already draws th...
research
∙
01/08/2021
Multistage BiCross Encoder: Team GATE Entry for MLIA Multilingual Semantic Search Task 2
The Coronavirus (COVID-19) pandemic has led to a rapidly growing `infode...
research
∙
10/09/2020
Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis
Hate speech and toxic comments are a common concern of social media plat...
research
∙
10/09/2020
Measuring What Counts: The case of Rumour Stance Classification
Stance classification can be a powerful tool for understanding whether a...
research
∙
05/01/2020
ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations
In order to simplify a sentence, human editors perform multiple rewritin...
research
∙
10/14/2019
Estimating post-editing effort: a study on human judgements, task-based and reference-based metrics of MT quality
Devising metrics to assess translation quality has always been at the co...
research
∙
08/13/2019
EASSE: Easier Automatic Sentence Simplification Evaluation
We introduce EASSE, a Python package aiming to facilitate and standardis...
research
∙
09/02/2018
