Tiago Pimentel

According to our database, Tiago Pimentel authored at least 65 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Do Language Models Have a Critical Period for Language Acquisition?

Ionut Constantinescu, Tiago Pimentel, Ryan Cotterell, Alex Warstadt

CoRR, 2024

Language Imbalance Can Boost Cross-lingual Generalisation.

Anton Schäfer, Shauli Ravfogel, Thomas Hofmann, Tiago Pimentel, Imanol Schlag

CoRR, 2024

How to Compute the Probability of a Word.

Tiago Pimentel, Clara Meister

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Towards a Similarity-adjusted Surprisal Theory.

Clara Meister, Mario Giulianelli, Tiago Pimentel

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Local and Global Decoding in Text Generation.

Daniel Gareev, Thomas Hofmann, Ezhilmathi Krishnasamy, Tiago Pimentel

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

On the Effect of (Near) Duplicate Subwords in Language Modelling.

Anton Schäfer, Thomas Hofmann, Imanol Schlag, Tiago Pimentel

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Causal Estimation of Memorisation Profiles.

Pietro Lesci, Clara Meister, Thomas Hofmann, Andreas Vlachos, Tiago Pimentel

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

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, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin

Nat. Mac. Intell., October, 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

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

Locally Typical Sampling.

Clara Meister, Tiago Pimentel, Gian Wiher, 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, Ryan Cotterell, Richard Futrell, Roger Levy

Trans. Assoc. Comput. Linguistics, 2023

Naturalistic Causal Probing for Morpho-Syntax.

Afra Amini, Tiago Pimentel, Clara Meister, Ryan Cotterell

Trans. Assoc. Comput. Linguistics, 2023

On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation.

Tiago Pimentel, Clara Meister, Ryan Cotterell

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Quantifying the redundancy between prosody and text.

Lukas Wolf, Tiago Pimentel, Evelina Fedorenko, Ryan Cotterell, Alex Warstadt, Ethan Wilcox, Tamar Regev

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages.

Ethan Wilcox, Clara Meister, Ryan Cotterell, Tiago Pimentel

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Revisiting the Optimality of Word Lengths.

Tiago Pimentel, Clara Meister, Ethan Wilcox, Kyle Mahowald, Ryan Cotterell

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

An Exploration of Left-Corner Transformations.

Andreas Opedal, Eleftheria Tsipidi, Tiago Pimentel, Ryan Cotterell, Tim Vieira

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

On the Intersection of Context-Free and Regular Languages.

Clemente Pasti, Andreas Opedal, Tiago Pimentel, Tim Vieira, Jason Eisner, Ryan Cotterell

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Generating Text from Language Models.

Afra Amini, Ryan Cotterell, John Hewitt, Clara Meister, Tiago Pimentel

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, 2023

Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and Evaluation.

Marius Mosbach, Tiago Pimentel, Shauli Ravfogel, Dietrich Klakow, Yanai Elazar

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

A Natural Bias for Language Generation Models.

Clara Meister, Wojciech Stokowiec, Tiago Pimentel, Lei Yu, Laura Rimell, Adhiguna Kuncoro

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

On the Efficacy of Sampling Adapters.

Clara Meister, Tiago Pimentel, Luca Malagutti, Ethan Wilcox, Ryan Cotterell

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Measure-Theoretic Characterization of Tight Language Models.

Li Du, Lucas Torroba Hennigen, Tiago Pimentel, Clara Meister, Jason Eisner, Ryan Cotterell

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

The Architectural Bottleneck Principle.

Tiago Pimentel, Josef Valvoda, Niklas Stoehr, 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, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin

CoRR, 2022

Cluster-based Evaluation of Automatically Generated Text.

Tiago Pimentel, Clara Meister, Ryan Cotterell

CoRR, 2022

On the probability-quality paradox in language generation.

Clara Meister, Gian Wiher, Tiago Pimentel, Ryan Cotterell

CoRR, 2022

Typical Decoding for Natural Language Generation.

Clara Meister, Tiago Pimentel, Gian Wiher, Ryan Cotterell

CoRR, 2022

Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective.

Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 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, Elena Budianskaya, Charbel El-Khaissi, Tiago Pimentel, Michael Gasser, William Abbott Lane, Mohit Raj, Matt Coler, Jaime Rafael Montoya Samame, Delio Siticonatzi Camaiteri, Esaú Zumaeta Rojas, Didier López Francis, Arturo Oncevay, Juan López Bautista, Gema Celeste Silva Villegas, Lucas Torroba Hennigen, Adam Ek, David Guriel, Peter Dirix, Jean-Philippe Bernardy, Andrey Scherbakov, Aziyana Bayyr-ool, Antonios Anastasopoulos, Roberto Zariquiey, Karina Sheifer, Sofya Ganieva, Hilaria Cruz, Ritván Karahóga, Stella Markantonatou, George Pavlidis, Matvey Plugaryov, Elena Klyachko, Ali Salehi, Candy Angulo, Jatayu Baxi, Andrew Krizhanovsky, Natalia Krizhanovskaya, Elizabeth Salesky, Clara Vania, Sardana Ivanova, Jennifer C. White, Rowan Hall Maudslay, Josef Valvoda, Ran Zmigrod, Paula Czarnowska, Irene Nikkarinen, Aelita Salchak, Brijesh Bhatt, Christopher Straughn, Zoey Liu, Jonathan North Washington, Yuval Pinter, Duygu Ataman, Marcin Wolinski, Totok Suhardijanto, Anna Yablonskaya, Niklas Stoehr, Hossep Dolatian, Zahroh Nuriah, Shyam Ratan, Francis M. Tyers, Edoardo M. Ponti, Grant Aiton, Aryaman Arora, Richard J. Hatcher, Ritesh Kumar, Jeremiah Young, Daria Rodionova, Anastasia Yemelina, Taras Andrushko, Igor Marchenko, Polina Mashkovtseva, Alexandra Serova, Emily Prud'hommeaux, Maria Nepomniashchaya, Fausto Giunchiglia, Eleanor Chodroff, Mans Hulden, Miikka Silfverberg, Arya D. McCarthy, David Yarowsky, Ryan Cotterell, Reut Tsarfaty, Ekaterina Vylomova

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Attentional Probe: Estimating a Module's Functional Potential.

Tiago Pimentel, Josef Valvoda, Niklas Stoehr, Ryan Cotterell

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

High probability or low information? The probability-quality paradox in language generation.

Clara Meister, Gian Wiher, Tiago Pimentel, Ryan Cotterell

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Analyzing Wrap-Up Effects through an Information-Theoretic Lens.

Clara Meister, Tiago Pimentel, Thomas Hikaru Clark, Ryan Cotterell, Roger Levy

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Probing for the Usage of Grammatical Number.

Karim Lasri, Tiago Pimentel, Alessandro Lenci, Thierry Poibeau, Ryan Cotterell

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models.

Karolina Stanczak, Sagnik Ray Choudhury, Tiago Pimentel, Ryan Cotterell, Isabelle Augenstein

CoRR, 2021

A Non-Linear Structural Probe.

Jennifer C. White, Tiago Pimentel, Naomi Saphra, Ryan Cotterell

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

What About the Precedent: An Information-Theoretic Analysis of Common Law.

Josef Valvoda, Tiago Pimentel, Niklas Stoehr, Ryan Cotterell, Simone Teufel

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Finding Concept-specific Biases in Form-Meaning Associations.

Tiago Pimentel, Brian Roark, Søren Wichmann, Ryan Cotterell, Damián E. Blasi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

How (Non-)Optimal is the Lexicon?

Tiago Pimentel, Irene Nikkarinen, Kyle Mahowald, Ryan Cotterell, Damián E. Blasi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

On Homophony and Rényi Entropy.

Tiago Pimentel, Clara Meister, Simone Teufel, Ryan Cotterell

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Bayesian Framework for Information-Theoretic Probing.

Tiago Pimentel, Ryan Cotterell

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Revisiting the Uniform Information Density Hypothesis.

Clara Meister, Tiago Pimentel, Patrick Haller, Lena A. Jäger, Ryan Cotterell, Roger Levy

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Disambiguatory Signals are Stronger in Word-initial Positions.

Tiago Pimentel, Ryan Cotterell, Brian Roark

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Modeling the Unigram Distribution.

Irene Nikkarinen, Tiago Pimentel, Damián E. Blasi, Ryan Cotterell

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Phonotactic Complexity and its Trade-offs.

Tiago Pimentel, Brian Roark, Ryan Cotterell

Trans. Assoc. Comput. Linguistics, 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, Ilya Yegorov, Natalia Krizhanovsky, Paula Czarnowska, Irene Nikkarinen, Andrew Krizhanovsky, Tiago Pimentel, Lucas Torroba Hennigen, Christo Kirov, Garrett Nicolai, Adina Williams, Antonios Anastasopoulos, Hilaria Cruz, Eleanor Chodroff, Ryan Cotterell, Miikka Silfverberg, Mans Hulden

Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, 2020

Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations.

Dan Valle, Tiago Pimentel, Adriano Veloso

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Deep Active Learning for Anomaly Detection.

Tiago Pimentel, Marianne Monteiro, Adriano Veloso, Nivio Ziviani

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Pareto Probing: Trading Off Accuracy for Complexity.

Tiago Pimentel, Naomi Saphra, Adina Williams, Ryan Cotterell

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Speakers Fill Lexical Semantic Gaps with Context.

Tiago Pimentel, Rowan Hall Maudslay, Damián E. Blasi, Ryan Cotterell

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Predicting Declension Class from Form and Meaning.

Adina Williams, Tiago Pimentel, Hagen Blix, Arya D. McCarthy, Eleanor Chodroff, Ryan Cotterell

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Corpus for Large-Scale Phonetic Typology.

Elizabeth Salesky, Eleanor Chodroff, Tiago Pimentel, Matthew Wiesner, Ryan Cotterell, Alan W. Black, Jason Eisner

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Information-Theoretic Probing for Linguistic Structure.

Tiago Pimentel, Josef Valvoda, Rowan Hall Maudslay, Ran Zmigrod, Adina Williams, Ryan Cotterell

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Tale of a Probe and a Parser.

Rowan Hall Maudslay, Josef Valvoda, Tiago Pimentel, Adina Williams, Ryan Cotterell

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Metaphor Detection using Context and Concreteness.

Rowan Hall Maudslay, Tiago Pimentel, Ryan Cotterell, Simone Teufel

Proceedings of the Second Workshop on Figurative Language Processing, 2020

2019

Efficient Estimation of Node Representations in Large Graphs using Linear Contexts.

Tiago Pimentel, Rafael Castro, Adriano Veloso, Nivio Ziviani

Proceedings of the International Joint Conference on Neural Networks, 2019

Meaning to Form: Measuring Systematicity as Information.

Tiago Pimentel, Arya D. McCarthy, Damián E. Blasi, Brian Roark, Ryan Cotterell

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Rethinking Phonotactic Complexity.

Tiago Pimentel, Brian Roark, Ryan Cotterell

Proceedings of the 2019 Workshop on Widening NLP@ACL 2019, Florence, Italy, July 28, 2019, 2019

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

A Generalized Active Learning Approach for Unsupervised Anomaly Detection.

Tiago Pimentel, Marianne Monteiro, Juliano Viana, Adriano Veloso, Nivio Ziviani

CoRR, 2018

Fast and Effective Neural Networks for Translating Natural Language into Denotations.

Tiago Pimentel, Juliano Viana, Adriano Veloso, Nivio Ziviani

Proceedings of the String Processing and Information Retrieval, 2018

Fast Node Embeddings: Learning Ego-Centric Representations.

Tiago Pimentel, Adriano Veloso, Nivio Ziviani

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Unsupervised and Scalable Algorithm for Learning Node Representations.

Tiago Pimentel, Adriano Veloso, Nivio Ziviani

Proceedings of the 5th International Conference on Learning Representations, 2017