Unsupervised and Scalable Algorithm for Learning Node Representations. - Tiago Pimentel; Adriano Veloso; Nivio Ziviani (ICLR (Workshop), 2017)

Fast Node Embeddings: Learning Ego-Centric Representations. - Tiago Pimentel; Adriano Veloso; Nivio Ziviani (ICLR (Workshop), 2018)

Fast and Effective Neural Networks for Translating Natural Language into Denotations. - Tiago Pimentel; Juliano Viana; Adriano Veloso; Nivio Ziviani (SPIRE, 2018)

A Generalized Active Learning Approach for Unsupervised Anomaly Detection. - Tiago Pimentel; Marianne Monteiro; Juliano Viana; Adriano Veloso; Nivio Ziviani (CoRR, 2018)

Detection of bimanual gestures everywhere: Why it matters, what we need and what is missing. - Divya Shah; Ernesto Denicia; Tiago Pimentel; Barbara Bruno; Fulvio Mastrogiovanni (Robotics Auton. Syst., 2018)

Rethinking Phonotactic Complexity. - Tiago Pimentel; Brian Roark; Ryan Cotterell (WNLP@ACL, 2019)

Meaning to Form: Measuring Systematicity as Information. - Tiago Pimentel; Arya D. McCarthy; Damián E. Blasi; Brian Roark; Ryan Cotterell (ACL (1), 2019)

Efficient Estimation of Node Representations in Large Graphs using Linear Contexts. - Tiago Pimentel; Rafael Castro; Adriano Veloso; Nivio Ziviani (IJCNN, 2019)

Metaphor Detection using Context and Concreteness. - Rowan Hall Maudslay; Tiago Pimentel; Ryan Cotterell; Simone Teufel (Fig-Lang@ACL, 2020)

A Tale of a Probe and a Parser. - Rowan Hall Maudslay; Josef Valvoda; Tiago Pimentel; Adina Williams; Ryan Cotterell (ACL, 2020)

Information-Theoretic Probing for Linguistic Structure. - Tiago Pimentel; Josef Valvoda; Rowan Hall Maudslay; Ran Zmigrod; Adina Williams; Ryan Cotterell (ACL, 2020)

A Corpus for Large-Scale Phonetic Typology. - Elizabeth Salesky; Eleanor Chodroff; Tiago Pimentel; Matthew Wiesner; Ryan Cotterell; Alan W. Black; Jason Eisner (ACL, 2020)

Predicting Declension Class from Form and Meaning. - Adina Williams; Tiago Pimentel; Hagen Blix; Arya D. McCarthy; Eleanor Chodroff; Ryan Cotterell (ACL, 2020)

Speakers Fill Lexical Semantic Gaps with Context. - Tiago Pimentel; Rowan Hall Maudslay; Damián E. Blasi; Ryan Cotterell (EMNLP (1), 2020)

Pareto Probing: Trading Off Accuracy for Complexity. - Tiago Pimentel; Naomi Saphra; Adina Williams; Ryan Cotterell (EMNLP (1), 2020)

Deep Active Learning for Anomaly Detection. - Tiago Pimentel; Marianne Monteiro; Adriano Veloso; Nivio Ziviani (IJCNN, 2020)

Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations. - Dan Valle; Tiago Pimentel; Adriano Veloso (IJCNN, 2020)

SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection. - Ekaterina Vylomova; Jennifer C. White; Elizabeth Salesky; Sabrina J. Mielke; Shijie Wu; Edoardo Maria Ponti; Rowan Hall Maudslay; Ran Zmigrod; Josef Valvoda; Svetlana Toldova; Francis M. Tyers; Elena Klyachko; et al. (SIGMORPHON, 2020)

Phonotactic Complexity and its Trade-offs. - Tiago Pimentel; Brian Roark; Ryan Cotterell (Trans. Assoc. Comput. Linguistics, 2020)

Modeling the Unigram Distribution. - Irene Nikkarinen; Tiago Pimentel; Damián E. Blasi; Ryan Cotterell (ACL/IJCNLP (Findings), 2021)

Disambiguatory Signals are Stronger in Word-initial Positions. - Tiago Pimentel; Ryan Cotterell; Brian Roark (EACL, 2021)

Revisiting the Uniform Information Density Hypothesis. - Clara Meister; Tiago Pimentel; Patrick Haller 001; Lena A. Jäger; Ryan Cotterell; Roger Levy (EMNLP (1), 2021)

A Bayesian Framework for Information-Theoretic Probing. - Tiago Pimentel; Ryan Cotterell (EMNLP (1), 2021)

A surprisal-duration trade-off across and within the world's languages. - Tiago Pimentel; Clara Meister; Elizabeth Salesky; Simone Teufel; Damián E. Blasi; Ryan Cotterell (EMNLP (1), 2021)

On Homophony and Rényi Entropy. - Tiago Pimentel; Clara Meister; Simone Teufel; Ryan Cotterell (EMNLP (1), 2021)

How (Non-)Optimal is the Lexicon? - Tiago Pimentel; Irene Nikkarinen; Kyle Mahowald; Ryan Cotterell; Damián E. Blasi (NAACL-HLT, 2021)

Finding Concept-specific Biases in Form-Meaning Associations. - Tiago Pimentel; Brian Roark; Søren Wichmann; Ryan Cotterell; Damián E. Blasi (NAACL-HLT, 2021)

What About the Precedent: An Information-Theoretic Analysis of Common Law. - Josef Valvoda; Tiago Pimentel; Niklas Stoehr; Ryan Cotterell; Simone Teufel (NAACL-HLT, 2021)

A Non-Linear Structural Probe. - Jennifer C. White; Tiago Pimentel; Naomi Saphra; Ryan Cotterell (NAACL-HLT, 2021)

Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models. - Karolina Stanczak; Sagnik Ray Choudhury; Tiago Pimentel; Ryan Cotterell; Isabelle Augenstein (CoRR, 2021)

Probing for the Usage of Grammatical Number. - Karim Lasri; Tiago Pimentel; Alessandro Lenci; Thierry Poibeau; Ryan Cotterell (ACL (1), 2022)

Analyzing Wrap-Up Effects through an Information-Theoretic Lens. - Clara Meister; Tiago Pimentel; Thomas Hikaru Clark; Ryan Cotterell; Roger Levy (ACL (2), 2022)

High probability or low information? The probability-quality paradox in language generation. - Clara Meister; Gian Wiher; Tiago Pimentel; Ryan Cotterell (ACL (2), 2022)

Attentional Probe: Estimating a Module's Functional Potential. - Tiago Pimentel; Josef Valvoda; Niklas Stoehr; Ryan Cotterell (EMNLP, 2022)

UniMorph 4.0: Universal Morphology. - Khuyagbaatar Batsuren; Omer Goldman; Salam Khalifa; Nizar Habash; Witold Kieras; Gábor Bella; Brian Leonard; Garrett Nicolai; Kyle Gorman; Yustinus Ghanggo Ate; Maria Ryskina; Sabrina J. Mielke; et al. (LREC, 2022)

Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. - Xin Xin 003; Tiago Pimentel; Alexandros Karatzoglou; Pengjie Ren; Konstantina Christakopoulou; Zhaochun Ren (SIGIR, 2022)

Typical Decoding for Natural Language Generation. - Clara Meister; Tiago Pimentel; Gian Wiher; Ryan Cotterell (CoRR, 2022)

On the probability-quality paradox in language generation. - Clara Meister; Gian Wiher; Tiago Pimentel; Ryan Cotterell (CoRR, 2022)

Cluster-based Evaluation of Automatically Generated Text. - Tiago Pimentel; Clara Meister; Ryan Cotterell (CoRR, 2022)

State-of-the-art generalisation research in NLP: a taxonomy and review. - Dieuwke Hupkes; Mario Giulianelli; Verna Dankers; Mikel Artetxe; Yanai Elazar; Tiago Pimentel; Christos Christodoulopoulos 001; Karim Lasri; Naomi Saphra; Arabella Sinclair; Dennis Ulmer; Florian Schottmann; et al. (CoRR, 2022)

The Architectural Bottleneck Principle. - Tiago Pimentel; Josef Valvoda; Niklas Stoehr; Ryan Cotterell (CoRR, 2022)

A Measure-Theoretic Characterization of Tight Language Models. - Li Du; Lucas Torroba Hennigen; Tiago Pimentel; Clara Meister; Jason Eisner; Ryan Cotterell (ACL (1), 2023)

On the Efficacy of Sampling Adapters. - Clara Meister; Tiago Pimentel; Luca Malagutti; Ethan Wilcox; Ryan Cotterell (ACL (1), 2023)

A Natural Bias for Language Generation Models. - Clara Meister; Wojciech Stokowiec; Tiago Pimentel; Lei Yu 008; Laura Rimell; Adhiguna Kuncoro (ACL (2), 2023)

Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation. - Marius Mosbach; Tiago Pimentel; Shauli Ravfogel; Dietrich Klakow; Yanai Elazar (ACL (Findings), 2023)

Generating Text from Language Models. - Afra Amini; Ryan Cotterell; John Hewitt; Clara Meister; Tiago Pimentel (ACL (tutorial), 2023)

On the Intersection of Context-Free and Regular Languages. - Clemente Pasti; Andreas Opedal; Tiago Pimentel; Tim Vieira; Jason Eisner; Ryan Cotterell (EACL, 2023)

An Exploration of Left-Corner Transformations. - Andreas Opedal; Eleftheria Tsipidi; Tiago Pimentel; Ryan Cotterell; Tim Vieira (EMNLP, 2023)

Revisiting the Optimality of Word Lengths. - Tiago Pimentel; Clara Meister; Ethan Wilcox; Kyle Mahowald; Ryan Cotterell (EMNLP, 2023)

Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages. - Ethan Wilcox; Clara Meister; Ryan Cotterell; Tiago Pimentel (EMNLP, 2023)

Quantifying the redundancy between prosody and text. - Lukas Wolf; Tiago Pimentel; Evelina Fedorenko; Ryan Cotterell; Alex Warstadt; Ethan Wilcox; Tamar Regev (EMNLP, 2023)

On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation. - Tiago Pimentel; Clara Meister; Ryan Cotterell (ICLR, 2023)

Naturalistic Causal Probing for Morpho-Syntax. - Afra Amini; Tiago Pimentel; Clara Meister; Ryan Cotterell (Trans. Assoc. Comput. Linguistics, 2023)

A Cross-Linguistic Pressure for Uniform Information Density in Word Order. - Thomas Hikaru Clark; Clara Meister; Tiago Pimentel; Michael Hahn 001; Ryan Cotterell; Richard Futrell; Roger Levy (Trans. Assoc. Comput. Linguistics, 2023)

Locally Typical Sampling. - Clara Meister; Tiago Pimentel; Gian Wiher; Ryan Cotterell (Trans. Assoc. Comput. Linguistics, 2023)

On the Effect of Anticipation on Reading Times. - Tiago Pimentel; Clara Meister; Ethan Gotlieb Wilcox; Roger P. Levy; Ryan Cotterell (Trans. Assoc. Comput. Linguistics, 2023)

Testing the Predictions of Surprisal Theory in 11 Languages. - Ethan Gotlieb Wilcox; Tiago Pimentel; Clara Meister; Ryan Cotterell; Roger P. Levy (Trans. Assoc. Comput. Linguistics, 2023)

A taxonomy and review of generalization research in NLP. - Dieuwke Hupkes; Mario Giulianelli; Verna Dankers; Mikel Artetxe; Yanai Elazar; Tiago Pimentel; Christos E. Christodoulopoulos; Karim Lasri; Naomi Saphra; Arabella Sinclair; Dennis Ulmer; Florian Schottmann; et al. (Nat. Mac. Intell., 2023)

Causal Estimation of Memorisation Profiles. - Pietro Lesci; Clara Meister; Thomas Hofmann 001; Andreas Vlachos 001; Tiago Pimentel (ACL (1), 2024)

On the Effect of (Near) Duplicate Subwords in Language Modelling. - Anton Schäfer; Thomas Hofmann 001; Imanol Schlag; Tiago Pimentel (ACL (Findings), 2024)

Local and Global Decoding in Text Generation. - Daniel Gareev; Thomas Hofmann 001; Ezhilmathi Krishnasamy; Tiago Pimentel (EMNLP (Findings), 2024)

Towards a Similarity-adjusted Surprisal Theory. - Clara Meister; Mario Giulianelli; Tiago Pimentel (EMNLP, 2024)

How to Compute the Probability of a Word. - Tiago Pimentel; Clara Meister (EMNLP, 2024)

Language Imbalance Can Boost Cross-lingual Generalisation. - Anton Schäfer; Shauli Ravfogel; Thomas Hofmann 001; Tiago Pimentel; Imanol Schlag (CoRR, 2024)

Do Language Models Have a Critical Period for Language Acquisition? - Ionut Constantinescu; Tiago Pimentel; Ryan Cotterell; Alex Warstadt (CoRR, 2024)

Causal Estimation of Tokenisation Bias. - Pietro Lesci; Clara Meister; Thomas Hofmann 001; Andreas Vlachos 001; Tiago Pimentel (ACL (1), 2025)

The time scale of redundancy between prosody and linguistic context. - Tamar I. Regev; Chiebuka Ohams; Shaylee Xie; Lukas Wolf; Evelina Fedorenko; Alex Warstadt; Ethan Wilcox; Tiago Pimentel (ACL (1), 2025)

Tokenisation is NP-Complete. - Philip Whittington; Gregor Bachmann; Tiago Pimentel (ACL (1), 2025)

Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent. - Ethan Wilcox; Cui Ding; Giovanni Acampa; Tiago Pimentel; Alex Warstadt; Tamar I. Regev (ACL (1), 2025)

Investigating Critical Period Effects in Language Acquisition through Neural Language Models. - Ionut Constantinescu; Tiago Pimentel; Ryan Cotterell; Alex Warstadt (Trans. Assoc. Comput. Linguistics, 2025)

The Non-Linear Representation Dilemma: Is Causal Abstraction Enough for Mechanistic Interpretability? - Denis Sutter; Julian Minder; Thomas Hofmann 001; Tiago Pimentel (CoRR, 2025)