23 citations · 93 across the 44 of their papers we have counts for
12 papers · 1 filter
A Cross-Domain Study of the Use of Persuasion Techniques in Online Disinformation
João A. Leite, Olesya Razuvayevskaya, Carolina Scarton +1
Disinformation, irrespective of domain or language, aims to deceive or manipulate public opinion, typically through employing advanced persuasion techniques. Qualitative and quanti…
Investigating Idiomaticity in Word Representations
Wei He, Tiago Kramer Vieira, Marcos Garcia +3
Idiomatic expressions are an integral part of human languages, often used to express complex ideas in compressed or conventional ways (e.g. eager beaver as a keen and enthusiastic…
A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Models
Ivan Srba, Olesya Razuvayevskaya, João A. Leite +10
In the age of social media and generative AI, the ability to automatically assess the credibility of online content has become increasingly critical, complementing traditional appr…
Label Set Optimization via Activation Distribution Kurtosis for Zero-shot Classification with Generative Models
Yue Li, Zhixue Zhao, Carolina Scarton
In-context learning (ICL) performance is highly sensitive to prompt design, yet the impact of class label options (e.g. lexicon or order) in zero-shot classification remains undere…
Overview of the BioLaySumm 2024 Shared Task on the Lay Summarization of Biomedical Research Articles
Tomas Goldsack, Carolina Scarton, Matthew Shardlow +1
This paper presents the setup and results of the second edition of the BioLaySumm shared task on the Lay Summarisation of Biomedical Research Articles, hosted at the BioNLP Worksho…
FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data
Haoran Sun, Renren Jin, Shaoyang Xu +10
Large language models (LLMs) have demonstrated prowess in a wide range of tasks. However, many LLMs exhibit significant performance discrepancies between high- and low-resource lan…
A Case Study on Contextual Machine Translation in a Professional Scenario of Subtitling
Sebastian Vincent, Charlotte Prescott, Chris Bayliss +2
Incorporating extra-textual context such as film metadata into the machine translation (MT) pipeline can enhance translation quality, as indicated by automatic evaluation in recent…
Enhancing Idiomatic Representation in Multiple Languages via an Adaptive Contrastive Triplet Loss
Wei He, Marco Idiart, Carolina Scarton +1
Accurately modeling idiomatic or non-compositional language has been a longstanding challenge in Natural Language Processing (NLP). This is partly because these expressions do not…
ATLAS: Improving Lay Summarisation with Attribute-based Control
Zhihao Zhang, Tomas Goldsack, Carolina Scarton +1
Lay summarisation aims to produce summaries of scientific articles that are comprehensible to non-expert audiences. However, previous work assumes a one-size-fits-all approach, whe…
EUvsDisinfo: A Dataset for Multilingual Detection of Pro-Kremlin Disinformation in News Articles
João A. Leite, Olesya Razuvayevskaya, Kalina Bontcheva +1
This work introduces EUvsDisinfo, a multilingual dataset of disinformation articles originating from pro-Kremlin outlets, along with trustworthy articles from credible / less biase…
ExU: AI Models for Examining Multilingual Disinformation Narratives and Understanding their Spread
Jake Vasilakes, Zhixue Zhao, Ivan Vykopal +3
Addressing online disinformation requires analysing narratives across languages to help fact-checkers and journalists sift through large amounts of data. The ExU project focuses on…
Word Boundary Information Isn't Useful for Encoder Language Models
Edward Gow-Smith, Dylan Phelps, Harish Tayyar Madabushi +2
All existing transformer-based approaches to NLP using subword tokenisation algorithms encode whitespace (word boundary information) through the use of special space symbols (such…