no code implementations • Findings (ACL) 2022 • Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, Julia Rozanova, Andre Freitas
The application of Natural Language Inference (NLI) methods over large textual corpora can facilitate scientific discovery, reducing the gap between current research and the available large-scale scientific knowledge.
1 code implementation • COLING (TextGraphs) 2022 • Marco Valentino, Deborah Ferreira, Mokanarangan Thayaparan, André Freitas, Dmitry Ustalov
In this summary paper, we present the results of the 1st edition of the NLPS task, providing a description of the evaluation data, and the participating systems.
no code implementations • 4 Feb 2022 • Oskar Wysocki, Zili Zhou, Paul O'Regan, Deborah Ferreira, Magdalena Wysocka, Dónal Landers, André Freitas
Specialised transformers-based models (such as BioBERT and BioMegatron) are adapted for the biomedical domain based on publicly available biomedical corpora.
1 code implementation • 15 Dec 2021 • Julia Rozanova, Deborah Ferreira, Marco Valentino, Mokanrarangan Thayaparan, Andre Freitas
In the interest of interpreting neural NLI models and their reasoning strategies, we carry out a systematic probing study which investigates whether these models capture the crucial semantic features central to natural logic: monotonicity and concept inclusion.
1 code implementation • 17 Sep 2021 • Julia Rozanova, Deborah Ferreira, Krishna Dubba, Weiwei Cheng, Dell Zhang, Andre Freitas
Even though BERT and similar pre-trained language models have excelled in several NLP tasks, their use has not been widely explored for the UI grounding domain.
1 code implementation • 25 Jul 2021 • Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas
Regenerating natural language explanations in the scientific domain has been proposed as a benchmark to evaluate complex multi-hop and explainable inference.
no code implementations • ACL (NALOMA, IWCS) 2021 • Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas
Natural language contexts display logical regularities with respect to substitutions of related concepts: these are captured in a functional order-theoretic property called monotonicity.
no code implementations • 7 May 2021 • Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas
This paper presents Diff-Explainer, the first hybrid framework for explainable multi-hop inference that integrates explicit constraints with neural architectures through differentiable convex optimization.
1 code implementation • ACL 2021 • Deborah Ferreira, Julia Rozanova, Mokanarangan Thayaparan, Marco Valentino, André Freitas
Probing (or diagnostic classification) has become a popular strategy for investigating whether a given set of intermediate features is present in the representations of neural models.
no code implementations • EACL 2021 • Deborah Ferreira, Andr{\'e} Freitas
Mathematical statements written in natural language are usually composed of two different modalities: mathematical elements and natural language.
no code implementations • ACL 2020 • Deborah Ferreira, Andr{\'e} Freitas
The discovery of supporting evidence for addressing complex mathematical problems is a semantically challenging task, which is still unexplored in the field of natural language processing for mathematical text.
1 code implementation • LREC 2020 • Deborah Ferreira, Andre Freitas
Mathematical text is written using a combination of words and mathematical expressions.