Danilo S. Carvalho

Orcid: 0000-0002-8124-9224

Affiliations:
  • Japan Advanced Institute of Science and Technology, Nomi, Japan
  • Federal University of Rio de Janeiro, PESC/COPPE, Brazil (former)
  • National University of Ireland, Galway (former)


According to our database1, Danilo S. Carvalho authored at least 39 papers between 2012 and 2024.

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Bibliography

2024
SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning.
CoRR, 2024

Interpreting token compositionality in LLMs: A robustness analysis.
CoRR, 2024

Inductive Learning of Logical Theories with LLMs: A Complexity-graded Analysis.
CoRR, 2024

The Mechanics of Conceptual Interpretation in GPT Models: Interpretative Insights.
CoRR, 2024

Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Leadership and international collaboration on COVID-19 research: reducing the North-South divide?
Scientometrics, August, 2023

LlaMaVAE: Guiding Large Language Model Generation via Continuous Latent Sentence Spaces.
CoRR, 2023

Towards Controllable Natural Language Inference through Lexical Inference Types.
CoRR, 2023

Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks.
CoRR, 2023

Analysis of business process automation as linear time-invariant system network.
CoRR, 2023

Learning Disentangled Representations for Natural Language Definitions.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022
Montague semantics and modifier consistency measurement in neural language models.
CoRR, 2022

Quasi-symbolic explanatory NLI via disentanglement: A geometrical examination.
CoRR, 2022

Estimating productivity gains in digital automation.
CoRR, 2022

Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

EnnCore: End-to-End Conceptual Guarding of Neural Architectures.
Proceedings of the Workshop on Artificial Intelligence Safety 2022 (SafeAI 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI2022), 2022

2021
Pattern Identification of Bot Messages for Media Literacy.
Proceedings of the WebMedia '21: Brazilian Symposium on Multimedia and the Web, 2021

2020
Correction: Corrigendum: The Gender Patenting Gap: A Study on the Iberoamerican Countries.
J. Data Inf. Sci., 2020

The Gender Patenting Gap: A Study on the Iberoamerican Countries.
J. Data Inf. Sci., 2020

2019
Uncovering Social Media Bots: a Transparency-focused Approach.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

2017
WikTDV: Data extraction and vector representation resource for Wiktionary senses.
Proceedings of the 9th International Conference on Knowledge and Systems Engineering, 2017

Improving Legal Information Retrieval by Distributional Composition with Term Order Probabilities.
Proceedings of the COLIEE 2017. 4th Competition on Legal Information Extraction and Entailment, 2017

Efficient Neural-based patent document segmentation with Term Order Probabilities.
Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017

Building Lexical Vector Representations from Concept Definitions.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

An Analysis of Majority Voting in Homogeneous Groups for Checkers: Understanding Group Performance Through Unbalance.
Proceedings of the Advances in Computer Games - 15th International Conferences, 2017

2016
Financial credit analysis via a clustering weightless neural classifier.
Neurocomputing, 2016

2015
Lexical-Morphological Modeling for Legal Text Analysis.
Proceedings of the New Frontiers in Artificial Intelligence, 2015

2014
EasyESA: A Low-effort Infrastructure for Explicit Semantic Analysis.
Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference, 2014

On the Semantic Representation and Extraction of Complex Category Descriptors.
Proceedings of the Natural Language Processing and Information Systems, 2014

Extracting rules from DRASiW's "mental images".
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Online tracking of multiple objects using WiSARD.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Credit analysis with a clustering RAM-based neural classifier.
Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

Extracting Semantic Information from Patent Claims Using Phrasal Structure Annotations.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Graphia: Extracting Contextual Relation Graphs from Text.
Proceedings of the Semantic Web: ESWC 2013 Satellite Events, 2013

B-bleaching: Agile Overtraining Avoidance in the WiSARD Weightless Neural Classifier.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

Representing Texts as Contextualized Entity-Centric Linked Data Graphs.
Proceedings of the 24th International Workshop on Database and Expert Systems Applications, 2013

2012
A Semantic Best-Effort Approach for Extracting Structured Discourse Graphs from Wikipedia.
Proceedings of the Web of Linked Entities Workshop, Boston, USA, November 11, 2012, 2012


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