no code implementations • EACL (Hackashop) 2021 • Costanza Conforti, Jakob Berndt, Marco Basaldella, Mohammad Taher Pilehvar, Chryssi Giannitsarou, Flavio Toxvaerd, Nigel Collier
Cross-target generalization constitutes an important issue for news Stance Detection (SD).
no code implementations • 29 Mar 2024 • Caiqi Zhang, Fangyu Liu, Marco Basaldella, Nigel Collier
With \textsc{Luq} as the tool for UQ, we investigate behavior patterns of several popular LLMs' response confidence spectrum and how that interplays with the response' factuality.
1 code implementation • NAACL 2021 • Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier
Despite the widespread success of self-supervised learning via masked language models (MLM), accurately capturing fine-grained semantic relationships in the biomedical domain remains a challenge.
1 code implementation • EMNLP 2020 • Marco Basaldella, Fangyu Liu, Ehsan Shareghi, Nigel Collier
Whilst there has been growing progress in Entity Linking (EL) for general language, existing datasets fail to address the complex nature of health terminology in layman's language.
no code implementations • EMNLP 2020 • Costanza Conforti, Stephanie Hirmer, David Morgan, Marco Basaldella, Yau Ben Or
In recent years, there has been an increasing interest in the application of Artificial Intelligence - and especially Machine Learning - to the field of Sustainable Development (SD).
no code implementations • WS 2019 • Marco Basaldella, Nigel Collier
Word embeddings, in their different shapes and iterations, have changed the natural language processing research landscape in the last years.
no code implementations • RANLP 2017 • Marco Basaldella, Muhammad Helmy, Elisa Antolli, Mihai Horia Popescu, Giuseppe Serra, Carlo Tasso
On the five languages we analyzed, results show an improvement in performance when using a machine learning algorithm, even if such algorithm is not trained and tested on the same language.
no code implementations • COLING 2016 • Marco Basaldella, Giorgia Chiaradia, Carlo Tasso
In order to verify the impact of these features, we define a baseline keyphrase extraction system and evaluate its performance on a standard dataset using different machine learning algorithms.