Tiago Pimentel

Orcid: 0000-0002-5159-4641

According to our database1, Tiago Pimentel authored at least 58 papers between 2017 and 2023.

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Bibliography

2023
A taxonomy and review of generalization research in NLP.
Nat. Mac. Intell., October, 2023

Locally Typical Sampling.
Trans. Assoc. Comput. Linguistics, 2023

Testing the Predictions of Surprisal Theory in 11 Languages.
CoRR, 2023

A Cross-Linguistic Pressure for Uniform Information Density in Word Order.
CoRR, 2023

On the Usefulness of Embeddings, Clusters and Strings for Text Generation Evaluation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Quantifying the redundancy between prosody and text.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Language Model Quality Correlates with Psychometric Predictive Power in Multiple Languages.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Revisiting the Optimality of Word Lengths.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

An Exploration of Left-Corner Transformations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

On the Intersection of Context-Free and Regular Languages.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Generating Text from Language Models.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

A Natural Bias for Language Generation Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

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

2022
On the Effect of Anticipation on Reading Times.
CoRR, 2022

The Architectural Bottleneck Principle.
CoRR, 2022

State-of-the-art generalisation research in NLP: a taxonomy and review.
CoRR, 2022

Cluster-based Evaluation of Automatically Generated Text.
CoRR, 2022

Naturalistic Causal Probing for Morpho-Syntax.
CoRR, 2022

On the probability-quality paradox in language generation.
CoRR, 2022

Typical Decoding for Natural Language Generation.
CoRR, 2022

Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective.
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.
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Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Attentional Probe: Estimating a Module's Functional Potential.
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.
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.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Probing for the Usage of Grammatical Number.
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.
CoRR, 2021

A Non-Linear Structural Probe.
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.
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.
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?
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.
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.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

A Bayesian Framework for Information-Theoretic Probing.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Revisiting the Uniform Information Density Hypothesis.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Disambiguatory Signals are Stronger in Word-initial Positions.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Modeling the Unigram Distribution.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Phonotactic Complexity and its Trade-offs.
Trans. Assoc. Comput. Linguistics, 2020


Assessing the Reliability of Visual Explanations of Deep Models with Adversarial Perturbations.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Deep Active Learning for Anomaly Detection.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Pareto Probing: Trading Off Accuracy for Complexity.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Speakers Fill Lexical Semantic Gaps with Context.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Predicting Declension Class from Form and Meaning.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Corpus for Large-Scale Phonetic Typology.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Information-Theoretic Probing for Linguistic Structure.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Tale of a Probe and a Parser.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Metaphor Detection using Context and Concreteness.
Proceedings of the Second Workshop on Figurative Language Processing, 2020

2019
Efficient Estimation of Node Representations in Large Graphs using Linear Contexts.
Proceedings of the International Joint Conference on Neural Networks, 2019

Meaning to Form: Measuring Systematicity as Information.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Rethinking Phonotactic Complexity.
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.
Robotics Auton. Syst., 2018

A Generalized Active Learning Approach for Unsupervised Anomaly Detection.
CoRR, 2018

Fast and Effective Neural Networks for Translating Natural Language into Denotations.
Proceedings of the String Processing and Information Retrieval, 2018

Fast Node Embeddings: Learning Ego-Centric Representations.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Unsupervised and Scalable Algorithm for Learning Node Representations.
Proceedings of the 5th International Conference on Learning Representations, 2017


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