2024:

 

Jordan Meadows, Marco Valentino, Damien Teney, André Freitas, A Symbolic Framework for Evaluating Mathematical Reasoning and Generalisation with Transformers, The 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024.

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Marco Valentino, Jordan Meadows, Lan Zhang, André Freitas, Multi-Operational Mathematical Derivations in Latent Spaces, The 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2024.

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Yingji Zhang, Marco Valentino, Danilo S. Carvalho, Ian Pratt-Hartmann, André Freitas, Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders, Findings of the NAACL, 2024.

Marco Valentino, Danilo S. Carvalho, André Freitas, Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions, The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2024.

 

Xin Quan, Marco Valentino, Louise A. Dennis, André Freitas, Enhancing Ethical Explanations of Large Language Models through Iterative Symbolic Refinement, Findings of the EACL, 2024.

 

Yingji Zhang, Danilo S. Carvalho, Marco Valentino, Ian Pratt-Hartmann, André Freitas, Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders , Findings of the EACL, 2024.

 

Leonardo Ranaldi, André Freitas, Aligning Small and Large Large Language Models via Chain-of-Thought Reasoning, Findings of the EACL, 2024.

 

Hafiz Rauf, André Freitas, Norman Paton, Deep Clustering for Data Cleaning and Integration, In 27th International Conference on Extending Database Technology (EDBT), 2024.

 

Julia Rozanova, Marco Valentino, André Freitas, Estimating the Causal Effects of Natural Logic Features in Neural NLI Models, LREC-COLING, 2024.

 

Mokanarangan Thayaparan, Marco Valentino, André Freitas, A Differentiable Integer Linear Programming Solver for Explanation-Based Natural Language Inference, LREC-COLING, 2024.

 

Leonardo Ranaldi, Giulia Pucci, André Freitas, Does language matter? Curriculum Learning over Neo-latin Languages, LREC-COLING, 2024.

2023:

 

Mael Jullien, Marco Valentino, Hannah Frost, Paul O’Regan, Donal Landers, André Freitas, NLI4CT: Multi-Evidence Natural Language Inference for Clinical Trial Reports, The Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.

 

Julia Rozanova, Marco Valentino, Lucas Cordeiro, André Freitas, On Interventional Probing in High Dimensions: An NLI Case Study, In Findings of the European chapter of Association for Computational Linguistics (Findings of EACL), 2023.

 

Danilo S. Carvalho, Giangiacomo Mercatali, Yingji Zhang, André Freitas, Learning Disentangled Representations for Natural Language Definitions, In Findings of the European chapter of Association for Computational Linguistics (Findings of EACL), 2023.

 

Christina Niklaus, Matthias Cetto, André Freitas, Siegfried Handschuh, A Canonical Context-preserving Representation for Open IE: Extracting Semantically Typed Relational Tuples from Complex Sentences, Knowledge-Based Systems, 2023. 

 

Jordan Meadows, André Freitas, Introduction to Mathematical Language Processing: Informal Proofs, Word Problems, and Supporting Tasks, Transactions of the Association for Computational Linguistics (TACL), 2023.

 

Oskar Wysocki, Jessica K. Davies, Markel Vigo, Anne C. Armstrong, Donal Landers, Rebecca Lee, André Freitas, Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making, Artificial Intelligence, 2023.

 

Alex Bogatu, Magdalena Wysocka, Oskar Wysocki, …, Meta-analysis informed machine learning: Supporting cytokine storm detection during CAR-T cell Therapy, Journal of Biomedical Informatics, 2023.

 

Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, Donal Landers,  André Freitas, A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data, BMC bioinformatics 24 (1), 1-31, 2023.

 

Robbe Saese et al., Defining the role of real-world data in cancer clinical research: the position of the European Organisation for Research and Treatment of Cancer, European Journal of Cancer (EJC), 2023 .

 

Luis Castelo-Branco et al, Learning Lessons from the COVID-19 pandemic for Real World Evidence research in Oncology–shared perspectives from an international consortia,  ESMO Open, 2023.

 

John J. Taylor, Ahalya Subramanian, André Freitas, Deborah Ferreira, Chris Dickinson, What do individuals with visual impairment need and want from a dialogue-based digital assistant?, Clinical and Experimental Optometry, 2023.

 

Mario Ramirez, Alex Bogatu, Norman W. Paton,  André Freitas, Transformers, Tables and Frame Semantics, 17th International Conference on Semantic Computing (ICSC), 2023.

 

Mael Jullien, Marco Valentino, Hannah Frost, Paul O'Regan, Donal Landers,  André Freitas, SemEval-2023 Task 7: Multi-Evidence Natural Language Inference for Clinical Trial Data, 17th International Workshop on Semantic Evaluation (Semeval 2023), 2023.

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2022:
 

Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas, Diff-Explainer: Differentiable Convex Optimization for Explainable Multi-hop Inference, Transactions of the Association for Computational Linguistics  (TACL), 2022. 

 

Marco Valentino, Mokanarangan Thayaparan, Deborah Ferreira, André Freitas, Hybrid Autoregressive Solver for Scalable Abductive Natural Language Inference, In Proceedings of 36th AAAI Conference on Artificial Intelligence (AAAI), 2022.

 

Giangiacomo Mercatali, André Freitas, Vikas Garg, Symmetry-induced Disentanglement on Graphs, Advances in Neural Information Processing Systems 35 (NeurIPS), 2022.

 

Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, Julia Rozanova, André Freitas, To be or not to be an Integer? Encoding Variables for Mathematical Text, Findings of the ACL, 2022.

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Edoardo Manino, Julia Rozanova, Danilo Carvalho, André Freitas, Lucas Cordeiro, Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective, Findings of the ACL, 2022.

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Marco Valentino, Mokanarangan Thayaparan, André Freitas, Case-based Abductive Natural Language Inference, The 29th International Conference on Computational Linguistics (COLING), 2022.

 

Oskar Wysocki, Zili Zhou, Paul O'Regan, Deborah Ferreira, Magdalena Wysocka, Dónal Landers, André Freitas, Transformers and the representation of biomedical background knowledge, Computational Linguistics, 2022. 

 

Oskar Wysocki, Jessica Katharine Davies, Markel Vigo, Anne Caroline Armstrong, Dónal Landers, Rebecca Lee, André Freitas, Assessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-making, Artificial Intelligence, 2022 . 

 

Alex Bogatu, Norman W. Paton, Mark Douthwaite, Stuart Davie, André Freitas, Data Discovery and Integration for Onboarding in Data Science, 37th IEEE International Conference on Data Engineering (ICDE), 2022.

 

Philip Osborne, Heido Nomm, André Freitas, A Survey of Text Games for Reinforcement Learning Informed by Natural Language, Transactions of the Association for Computational Linguistics  (TACL), 2022.

 

Hannah Frost, Donna Graham, Louise Carter, Paul O'Regan, Donal Landers, André Freitas, Patient Attrition in Molecular Tumour Boards: A Systematic Review, British Journal of Cancer, 2022.

 

Wysocki et al, An International Comparison of Presentation, Outcomes and CORONET Predictive Score Performance in Patients with Cancer Presenting with COVID-19 across Different Pandemic Waves, Cancers, Special Issue The Impact of COVID-19 Infection in Cancer, 2022.

 

Hannah Burke et al., Biomarker identification using dynamic time warping analysis: a longitudinal cohort study of COVID-19 patients in a UK tertiary hospital, BMJ Open, 2022.

 

Anna Freeman et al., Wave comparisons of clinical characteristics and outcomes of COVID-19 admissions: Exploring the impact of treatment and strain dynamics, Journal of Clinical Virology 146, 2022.

 

Rebecca J. Lee et al., Establishment of CORONET; COVID-19 Risk in Oncology Evaluation Tool to identify cancer patients at low versus high risk of severe complications of COVID-19 infection upon presentation to hospital, Journal of Clinical Oncology (JCO), 2022.

 

Paul O’Regan, Richard Hoskins, Christopher Grave, Julie-Anne Stevenson, Hannah Frost, Donna M. Graham, Matthew G. Krebs, André Freitas, Dónal Landers, digital ECMT cancer trial matching tool, an open source research application to support oncologists in the identification of precision medicine clinical trials, JCO Clinical Cancer Informatics, 2022.

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Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino, André Freitas, Decomposing Natural Logic Inferences in Neural NLI, BlackBoxNLP@EMNLP, 2022.

 

Marco Valentino, Deborah Mendes, Mokanarangan Thayaparan, André Freitas and Dmitry Ustalov, TextGraphs 2022 Shared Task on Natural Language Premise Selection, Proceedings of TextGraphs-16: Graph-based Methods for Natural Language Processing, 2022.

 

Christina Niklaus, André Freitas, Siegfried Handschuh, Shallow Discourse Parsing for Open Information Extraction and Text Simplification, 3rd Workshop on Computational Approaches to Discourse (CODI) @ COLING,  2022.

 

Guy Marshall, Caroline Jay, André Freitas, Why Scholars Are Diagramming Neural Network Models, 13th International Conference on the Theory and Application of Diagrams (Diagrams), 2022.

 

Edoardo Manino, Danilo Carvalho, Yi Dong, Julia Rozanova, Xidan Song, Mustafa A Mustafa, André Freitas, Gavin Brown, Mikel Luján, Xiaowei Huang, Lucas Cordeiro, EnnCore: End-to-End Conceptual Guarding of Neural Architectures, SafeAI@AAAI, 2022.

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2021:

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Mokanarangan Thayaparan, Marco Valentino, André Freitas, Explainable Inference Over Grounding-Abstract Chains for Science Questions, ACL Findings, 2021 (Full Paper).

Mokanarangan Thayaparan, Marco Valentino, Deborah Ferreira, Julia Rozanova, André Freitas, ∂-Explainer: Abductive Natural Language Inference via Differentiable Convex Optimization, arXiv:2105.03417 (Preprint) (pdf).

Marco Valentino, Mokanarangan Thayaparan, André Freitas, Unification-based Reconstruction of Multi-hop Explanations for Science Questions, 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 (Full Paper/Research Track) (pdf).

Deborah Mendes, André Freitas, STAR: Cross-modal Statement Representation for Selecting Relevant Mathematical Premises, 16th conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 (Full Paper/Research Track) (pdf).

Alex Bogatu, Norman W. Paton, Mark Douthwaite, Stuart Davie, André Freitas, Cost–effective Variational Active Entity Resolution, 37th IEEE International Conference on Data Engineering (ICDE), 2021 (Full Paper/Research Track) (pdf).

Marco Valentino, Ian Pratt-Hartmann, André Freitas, Do Natural Language Explanations Represent Valid Logical Arguments? Verifying Entailment in Explainable NLI Gold Standards, 14th International Conference on Computational Semantics (IWCS), 2021 (Full Paper/Research Track) (pdf).

Zili Zhou, Marco Valentino, Donal Landers, André Freitas, Encoding Abstractive Knowledge for Zero-shot Science Question Answering, 14th International Conference on Computational Semantics (IWCS), 2021 (Full Paper/Research Track).

Guy Marshall, Mokanarangan Thayaparan, Philip Osborne and André Freitas, Switching Contexts: Transportability Measures for NLP, 14th International Conference on Computational Semantics (IWCS), 2021 (Full Paper/Research Track) (pdf).

Mario Ramirez, Alex Bogatu, Norman W. Paton, André Freitas, A Natural Language Inference Framework for Data Exploration on Data Lakes, 18th Extended Semantic Web Conference (ESWC), 2021 (Full Paper/Research Track). (pdf).

Julia Rozanova, Deborah Ferreira, Mokanarangan Thayaparan, Marco Valentino and André Freitas, Supporting Context Monotonicity Abstractions in Neural NLI Models, Natural Logic Meets Machine Learning (NALOMA), 2021 (Full Workshop Paper).

Guy Clarke Marshall, Caroline Jay, André Freitas, Scholarly AI system diagrams as an access point to mental models, arXiv:2104.14811, 2021 (Preprint) (pdf).

Guy Clarke Marshall, Caroline Jay, André Freitas, Structuralist analysis for neural network system diagrams, arXiv:2104.14810, 2021 (Preprint) (pdf).

Guy Clarke Marshall, Caroline Jay, André Freitas, Number and quality of diagrams in scholarly publications is associated with number of citations, arXiv:2104.14815, 2021 (Preprint) (pdf).

Rebecca J. Lee et al., Longitudinal characterisation of haematological and biochemical parameters in cancer patients prior to and during COVID-19 reveals features associated with outcome, ESMO Open, Volume 6, Issue 1, 2021 (Jounal) (pdf).

Mauricio R. Jacobo, André Freitas, Microeconomic Foundations of Decentralised Organisations, The 36th ACM/SIGAPP Symposium On Applied Computing (ACM SAC), 2021 (Full Paper/Research Track).

Rebecca J. Lee et al., Establishment of CORONET; COVID-19 Risk in Oncology Evaluation Tool to identify cancer patients at low versus high risk of severe complications of COVID-19 infection upon presentation to hospital, medRXiv, 2021 (Preprint) (pdf).

Rebecca J. Lee et al., CORONET; COVID-19 in Oncology evaluatiON Tool: Use of machine learning to inform management of COVID-19 in patients with cancer, ASCO Annual Meeting (Abstract).
 

2020:

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Deborah Mendes, André Freitas, Premise Selection in Natural Language Mathematical Texts, 58th Annual Meeting of the Association for Computational Linguistics (ACL), Seattle, USA, 2020 (Full Paper/Research Track) (pdf).

Mokanarangan Thayaparan, Marco Valentino, André Freitas, ExplanationLP: Abductive Reasoning for Explainable Science Question Answering, arXiv:2010.13128, 2020 (Preprint) (pdf).

Mokanarangan Thayaparan, Marco Valentino, André Freitas, A Survey on Explainability in Machine Reading Comprehension, arXiv:2010.00389, 2020 (Preprint) (pdf).

Vivian S. Silva, André Freitas, Siegfried Handschuh, XTE: Explainable Text Entailment, arXiv:2009.12431, 2020 (Preprint) (pdf).

Guy Clarke Marshall, André Freitas, Caroline Jay, How Researchers Use Diagrams in Communicating Neural Network Systems, arXiv:2008.12566, 2020 (Preprint) (pdf).

Guy Clarke Marshall, Caroline Jay, André Freitas, Understanding scholarly Natural Language Processing system diagrams through application of the Richards-Engelhardt framework, arXiv:2008.11785, 2020 (Preprint) (pdf).

Oskar Wysocki, Malina Florea, André Freitas, What is SemEval evaluating? A Systematic Analysis of Evaluation Campaigns in NLP, arXiv:2005.14299, 2020 (Preprint) (pdf).

Deborah Mendes, Julia Rozanova, Krishna Dubba, Dell Zhang, André Freitas, On the Evaluation of Intelligence Process Automation, 1st Workshop on Intelligent Processing Automation@AAAI, New York, USA, 2020 (Full Workshop Paper) (pdf).

Deborah Mendes, André Freitas, Natural Language Premise Selection: Finding Supporting Statements for Mathematical Texts, 12th Language Resources and Evaluation Conference (LREC), Marseille, France, 2020 (Language Resource Paper) (pdf).

Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro, A Framework for Evaluation of Machine Reading Comprehension Gold Standards, 12th Language Resources and Evaluation Conference (LREC), Marseille, France, 2020 (Language Resource Paper) (pdf).

Juliano Sales, André Freitas, Siegfried Handschuh, A User-Centred Analysis of Explanations for a Multi-Component Semantic Parser, 25th International Conference on Natural Language & Information Systems (NLDB), Saarbrucken, Germany, 2020 (Short Research Paper) (pdf).

Macedo Maia, Vivian Silva, M Endres, André Freitas, Siegfried Handschuh, Attentive Recurrent Text Categorisation Models using Word-Category Cross Embedding on Financial Comments, Proceedings of the 35th Annual ACM Symposium on Applied Computing, Brno, Czech Republic, 2020 (Short Research Paper).
 

2019:

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Armins Stepanjans, André Freitas, Identifying and Explaining Discriminative Attributes, Conference on Empirical Methods in Natural Language Processing (EMNLP), Hong Kong, 2019 (Full Conference Paper) (pdf).

Christina Niklaus, Matthias Cetto, André Freitas and Siegfried Handschuh, Transforming Complex Sentences into a Semantic Hierarchy, 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, 2019 (Full Conference Paper) (pdf)

Vivian S. Silva, André Freitas, Siegfried Handschuh, Exploring Knowledge Graphs in an Interpretable Composite Approach for Text Entailment, 33rd AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, USA, 2019 (Full Conference Paper) (pdf).

Viktor Schlegel, Benedikt Lang, Siegfried Handschuh, André Freitas, Vajra: Step-by-step Programming with Natural Language, 24th Annual Meeting of the Intelligent User Interfaces (IUI), Los Angeles, USA, 2019 (Full Conference Paper) (pdf).

Guy Marshall, André Freitas, Measuring diagram quality through semiotic morphisms,  Semiotica: Journal of the International Association for Semiotic Studies (SEMI), 2019 (Journal Paper) (pdf).

Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas, Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks, TextGraphs@EMNLP, Hong Kong, 2019 (Workshop Paper) (pdf).

Viktor Schlegel, André Freitas, DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings, TextGraphs@EMNLP, Hong Kong, 2019 (Workshop Paper) (pdf).

Christina Niklaus, Matthias Cetto, André Freitas and Siegfried Handschuh, MinWikiSplit: A Sentence Splitting Corpus with Minimal Propositions, 12th International Conference on Natural Language Generation (INLG 2019), Tokyo, 2019 (Conference Short Paper) (pdf).

Christina Niklaus, Matthias Cetto, André Freitas and Siegfried Handschuh, DisSim: A Discourse-Aware Syntactic Text Simplification Frameworkfor English and German, 12th International Conference on Natural Language Generation (INLG 2019), Tokyo, 2019 (Conference Demo Paper) (pdf).

Vivian S. Silva, André Freitas, Siegfried Handschuh, On the Semantic Interpretability of Artificial Intelligence Models (Preprint) (pdf).

Guy Marshall, André Freitas, The Diagrammatic AI Language (DIAL): Version 0.1 (Technical Report) (pdf).

André Freitas, Seán O’Riáin, and Edward Curry, Querying and Searching Heterogeneous Knowledge Graphs in Real-Time Linked Dataspaces (Book Chapter).
 

2018:

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Vivian S. Silva, André Freitas, Siegfried Handschuh, Recognizing and Justifying Text Entailment through Distributional Navigation on Definition Graphs, Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, USA, 2018 (Full Conference Paper) (pdf).

 

Matthias Cetto, Christina Niklaus, André Freitas and Siegfried Handschuh, Graphene: Semantically-Linked Propositions in Open Information Extraction, In Proceedings of the 27th International Conference on Computational Linguistics (COLING), New-Mexico, USA, 2018 (Full Conference Paper) (pdf).

Christina Niklaus, Matthias Cetto, André Freitas and Siegfried Handschuh, A Survey on Open Information Extraction, In Proceedings of the 27th International Conference on Computational Linguistics (COLING), New-Mexico, USA, 2018 (Best Survey Paper Award) (Full Conference Paper) (pdf).

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Matthias Cetto, Christina Niklaus, André Freitas and Siegfried Handschuh, Graphene: A Context-Preserving Open Information Extraction System, In Proceedings of the 27th International Conference on Computational Linguistics (COLING), New-Mexico, USA, 2018  (Demonstration Paper) (pdf).

Juliano E. Sales, André Freitas, Siegfried Handschuh, An Open Vocabulary Semantic Parser for End-User Programming using Natural Language, 12th IEEE International Conference on Semantic Computing (ICSC), USA, 2018 (Best Student Paper Award) (Full Conference Paper) (pdf).

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Siamak Barzegar, Brian Davis, Siegfried Handschuh,  André Freitas, Multilingual Semantic Relatedness using Lightweight Machine Translation, 12th IEEE International Conference on Semantic Computing (ICSC), USA, 2018 (Full Conference Paper) (pdf).

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Siamak Barzegar, Brian Davis, Manel Zarrouk, Siegfried Handschuh, André Freitas, SemR-11: A Multi-Lingual Gold-Standard for Semantic Similarity and Relatedness for Eleven Languages, 11th Language Resources and Evaluation Conference (LREC), Japan, 2018 (Linguistic Resource Paper) (pdf).

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Thomas Gaillat, Manel Zarrouk, André Freitas, Brian Davis, The SSIX Corpora: Three Gold Standard Corpora for Sentiment Analysis in English, Spanish and German Financial Microblogs, 11th Language Resources and Evaluation Conference (LREC), Japan, 2018 (Linguistic Resource Paper) (pdf).

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Juliano Efson Sales, Leonardo Souza, Siamak Barzegar, Brian Davis, André Freitas and Siegfried Handschuh, Indra: A Word Embedding and Semantic Relatedness Server, 11th Language Resources and Evaluation Conference (LREC),  Japan, 2018 (Linguistic Resource Paper) (pdf).

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Vivian S. Silva, André Freitas, Siegfried Handschuh, Building a Knowledge Graph from Natural Language Definitions for Interpretable Text Entailment Recognition, 11th Language Resources and Evaluation Conference (LREC), Japan, 2018 (Linguistic Resource Paper) (pdf).

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Juliano E. Sales, Siamak Barzegar, Wellington Franco, Bernhard Bermeitinger, Tiago Cunha, Brian Davis, André Freitas, Siegfried Handschuh, A Multilingual Test Collection for the Semantic Search of Entity Categories, 11th Language Resources and Evaluation Conference (LREC), Japan, 2018 (Linguistic Resource Paper) (pdf).

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Macedo Maia, André Freitas, Alexandra Balahur, Siegfried Handschuh, Manel Zarrouk, Ross McDermott, Brian Davis, WWW’18 Open Challenge: Financial Opinion Mining and Question Answering, In Proceedings of The Web Conference, Lyon, France, 2018 (Challenge Description) (pdf).

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Publications before 2018 can be found here.