A Semantic Best-Effort Approach for Extracting Structured Discourse Graphs from Wikipedia. - André Freitas; Danilo S. Carvalho; João Carlos Pereira da Silva; Seán O'Riain; Edward Curry (WoLE@ISWC, 2012)

Representing Texts as Contextualized Entity-Centric Linked Data Graphs. - André Freitas; Seán O'Riain; Edward Curry; João Carlos Pereira da Silva; Danilo S. Carvalho (DEXA Workshops, 2013)

B-bleaching: Agile Overtraining Avoidance in the WiSARD Weightless Neural Classifier. - Danilo S. Carvalho; Hugo C. C. Carneiro; Felipe M. G. França; Priscila M. V. Lima (ESANN, 2013)

Graphia: Extracting Contextual Relation Graphs from Text. - Danilo S. Carvalho; André Freitas; João Carlos Pereira da Silva (ESWC (Satellite Events), 2013)

Extracting Semantic Information from Patent Claims Using Phrasal Structure Annotations. - Danilo Silva de Carvalho; Felipe Maia Galvão França; Priscila Machado Vieira Lima (BRACIS, 2014)

Credit analysis with a clustering RAM-based neural classifier. - Douglas de O. Cardoso; Danilo S. Carvalho; Daniel S. F. Alves; Diego Fonseca Pereira de Souza; Hugo C. C. Carneiro; Carlos Eduardo Pedreira; Priscila M. V. Lima; Felipe M. G. França (ESANN, 2014)

Online tracking of multiple objects using WiSARD. - Rafael Lima de Carvalho; Danilo S. Carvalho; Priscila M. V. Lima; Félix Mora-Camino; Felipe M. G. França (ESANN, 2014)

Extracting rules from DRASiW's "mental images". - Paulo Coutinho; Hugo C. C. Carneiro; Danilo S. Carvalho; Felipe M. G. França (ESANN, 2014)

On the Semantic Representation and Extraction of Complex Category Descriptors. - André Freitas; Rafael Vieira; Edward Curry; Danilo S. Carvalho; João Carlos Pereira da Silva (NLDB, 2014)

EasyESA: A Low-effort Infrastructure for Explicit Semantic Analysis. - Danilo S. Carvalho; Cagatay Calli; André Freitas; Edward Curry (ISWC (Posters & Demos), 2014)

Lexical-Morphological Modeling for Legal Text Analysis. - Danilo S. Carvalho; Minh-Tien Nguyen; Chien-Xuan Tran; Minh-Le Nguyen 001 (JSAI-isAI Workshops, 2015)

Financial credit analysis via a clustering weightless neural classifier. - Douglas de O. Cardoso; Danilo S. Carvalho; Daniel S. F. Alves; Diego Fonseca Pereira de Souza; Hugo C. C. Carneiro; Carlos Eduardo Pedreira; Priscila M. V. Lima; Felipe M. G. França (Neurocomputing, 2016)

An Analysis of Majority Voting in Homogeneous Groups for Checkers: Understanding Group Performance Through Unbalance. - Danilo S. Carvalho; Minh Le Nguyen 001; Hiroyuki Iida (ACG, 2017)

Building Lexical Vector Representations from Concept Definitions. - Danilo Silva de Carvalho; Minh Le Nguyen 001 (EACL (1), 2017)

Efficient Neural-based patent document segmentation with Term Order Probabilities. - Danilo Silva de Carvalho; Minh-Le Nguyen 001 (ESANN, 2017)

Improving Legal Information Retrieval by Distributional Composition with Term Order Probabilities. - Danilo S. Carvalho; Vu D. Tran; Van-Khanh Tran; Le-Minh Nguyen 001 (COLIEE@ICAIL, 2017)

WikTDV: Data extraction and vector representation resource for Wiktionary senses. - Danilo S. Carvalho; Minh-Le Nguyen 001 (KSE, 2017)

Uncovering Social Media Bots: a Transparency-focused Approach. - Eric Ferreira Dos Santos; Danilo S. Carvalho; Lívia Ruback; Jonice Oliveira (WWW (Companion Volume), 2019)

The Gender Patenting Gap: A Study on the Iberoamerican Countries. - Danilo S. Carvalho; Lydia Bares; Kelyane Silva (J. Data Inf. Sci., 2020)

Correction: Corrigendum: The Gender Patenting Gap: A Study on the Iberoamerican Countries. - Danilo S. Carvalho; Lydia Bares; Kelyane Silva (J. Data Inf. Sci., 2020)

Pattern Identification of Bot Messages for Media Literacy. - Eric Ferreira Dos Santos; Danilo Silva de Carvalho; Jonice Oliveira (WebMedia, 2021)

EnnCore: End-to-End Conceptual Guarding of Neural Architectures. - Edoardo Manino; Danilo S. Carvalho; Yi Dong 002; Julia Rozanova; Xidan Song; Mustafa A. Mustafa; André Freitas; Gavin Brown 001; Mikel Luján; Xiaowei Huang 001; Lucas C. Cordeiro (SafeAI@AAAI, 2022)

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

Estimating productivity gains in digital automation. - Mauricio Jacobo-Romero; Danilo S. Carvalho; André Freitas (CoRR, 2022)

Quasi-symbolic explanatory NLI via disentanglement: A geometrical examination. - Yingji Zhang; Danilo S. Carvalho; Ian Pratt-Hartmann; André Freitas (CoRR, 2022)

Learning Disentangled Representations for Natural Language Definitions. - Danilo Silva de Carvalho; Giangiacomo Mercatali; Yingji Zhang; André Freitas (EACL (Findings), 2023)

Analysis of business process automation as linear time-invariant system network. - Mauricio Jacobo-Romero; Danilo S. Carvalho; André Freitas (CoRR, 2023)

Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks. - Yingji Zhang; Danilo S. Carvalho; Ian Pratt-Hartmann; André Freitas (CoRR, 2023)

Towards Controllable Natural Language Inference through Lexical Inference Types. - Yingji Zhang; Danilo S. Carvalho; Ian Pratt-Hartmann; André Freitas (CoRR, 2023)

LlaMaVAE: Guiding Large Language Model Generation via Continuous Latent Sentence Spaces. - Yingji Zhang; Danilo S. Carvalho; Ian Pratt-Hartmann; André Freitas (CoRR, 2023)

Leadership and international collaboration on COVID-19 research: reducing the North-South divide? - Danilo Silva de Carvalho; Lucas Lopes Felipe; Priscila Costa Albuquerque; Fabio Zicker; Bruna de Paula Fonseca (Scientometrics, 2023)

Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks. - Yingji Zhang; Danilo S. Carvalho; André Freitas (ACL (1), 2024)

Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions. - Marco Valentino; Danilo S. Carvalho; André Freitas (EACL (1), 2024)

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

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

An LLM-based Knowledge Synthesis and Scientific Reasoning Framework for Biomedical Discovery. - Oskar Wysocki; Magdalena Wysocka; Danilo S. Carvalho; Alex Teodor Bogatu; Danilo Miranda Gusicuma; Maxime Delmas; Harriet Unsworth; André Freitas (CoRR, 2024)

The Mechanics of Conceptual Interpretation in GPT Models: Interpretative Insights. - Nura Aljaafari; Danilo S. Carvalho; André Freitas (CoRR, 2024)

Inductive Learning of Logical Theories with LLMs: A Complexity-graded Analysis. - João Pedro Gandarela de Souza; Danilo S. Carvalho; André Freitas (CoRR, 2024)

Interpreting token compositionality in LLMs: A robustness analysis. - Nura Aljaafari; Danilo S. Carvalho; André Freitas (CoRR, 2024)

Inductive Learning of Logical Theories with LLMs: A Expressivity-graded Analysis. - João Pedro Gandarela de Souza; Danilo S. Carvalho; André Freitas (AAAI, 2025)

Montague semantics and modifier consistency measurement in neural language models. - Danilo Silva de Carvalho; Edoardo Manino; Julia Rozanova; Lucas C. Cordeiro; André Freitas (COLING, 2025)

SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning. - Magdalena Wysocka; Danilo S. Carvalho; Oskar Wysocki; Marco Valentino; André Freitas (NAACL (Long Papers), 2025)

CARMA: Enhanced Compositionality in LLMs via Advanced Regularisation and Mutual Information Alignment. - Nura Aljaafari; Danilo S. Carvalho; André Freitas (CoRR, 2025)

PEIRCE: Unifying Material and Formal Reasoning via LLM-Driven Neuro-Symbolic Refinement. - Xin Quan; Marco Valentino; Danilo S. Carvalho; Dhairya Dalal; André Freitas (CoRR, 2025)

LangVAE and LangSpace: Building and Probing for Language Model VAEs. - Danilo S. Carvalho; Yingji Zhang; Harriet Unsworth; André Freitas (CoRR, 2025)

TRACE for Tracking the Emergence of Semantic Representations in Transformers. - Nura Aljaafari; Danilo S. Carvalho; André Freitas (CoRR, 2025)

Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study. - Yingji Zhang; Marco Valentino; Danilo S. Carvalho; André Freitas (CoRR, 2025)

Bridging Compositional and Distributional Semantics: A Survey on Latent Semantic Geometry via AutoEncoder. - Yingji Zhang; Danilo S. Carvalho; André Freitas (CoRR, 2025)

TRACE: Training and Inference-Time Interpretability Analysis for Language Models. - Nura Aljaafari; Danilo S. Carvalho; André Freitas (CoRR, 2025)

elsciRL: Integrating Language Solutions into Reinforcement Learning Problem Settings. - Philip Osborne; Danilo S. Carvalho; André Freitas (CoRR, 2025)