Thiago Castro Ferreira
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
11
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | LLM Multi-Agent Systems for Long Triple Set Data-to-Text Generation. | Chinonso Cynthia Osuji, Simon Mille, Mark Andrade, Jane Adkins, Ornait O'Connell, Elaine U Dhonnchadha, Blithn Heffernan, Frinne Nic an tSaoir, Anya Belz, Thiago Castro Ferreira, Brian Davis |
| 2025 | ACL | Bel Esprit: Multi-Agent Framework for Building AI Model Pipelines. | Yunsu Kim, AhmedElmogtaba Abdelaziz, Thiago Castro Ferreira, Mohamed Al-Badrashiny, Hassan Sawaf |
| 2025 | INLG | Scaling Up Data-to-Text Generation to Longer Sequences: A New Dataset and Benchmark Results for Generation from Large Triple Sets. | Chinonso Cynthia Osuji, Simon Mille, Ornait O'Connell, Thiago Castro Ferreira, Anya Belz, Brian Davis |
| 2025 | INLG | Are Multi-Agents the new Pipeline Architecture for Data-to-Text Systems? | Chinonso Cynthia Osuji, Brian Timoney, Mark Andrade, Thiago Castro Ferreira, Brian Davis |
| 2024 | COLING | A Persona-Based Corpus in the Diabetes Self-Care Domain - Applying a Human-Centered Approach to a Low-Resource Context. | Rossana Cunha, Thiago Castro Ferreira, Adriana S. Pagano, Fbio Alves |
| 2024 | ICASSP | Word-Level ASR Quality Estimation for Efficient Corpus Sampling and Post-Editing Through Analyzing Attentions of a Reference-Free Metric. | Golara Javadi, Kamer Ali Yuksel, Yunsu Kim, Thiago Castro Ferreira, Mohamed Al-Badrashiny |
| 2024 | INLG | Pipeline Neural Data-to-text with Large Language Models. | Chinonso Cynthia Osuji, Brian Timoney, Thiago Castro Ferreira, Brian Davis |
| 2024 | INLG | aiXplain SDK: A High-Level and Standardized Toolkit for AI Assets. | Shreyas Sharma, Lucas Pavanelli, Thiago Castro Ferreira, Mohamed Al-Badrashiny, Hassan Sawaf |
| 2023 | ICASSP | A Reference-Less Quality Metric for Automatic Speech Recognition Via Contrastive-Learning of A Multi-Language Model with Self-Supervision. | Kamer Ali Yuksel, Thiago Castro Ferreira, Ahmet Gunduz, Mohamed Al-Badrashiny, Golara Javadi |
| 2023 | Interspeech | NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive Learning. | Kamer Ali Yuksel, Thiago Castro Ferreira, Golara Javadi, Mohamed Al-Badrashiny, Ahmet Gunduz |
| 2022 | LREC | Generating Questions from Wikidata Triples. | Kelvin Han, Thiago Castro Ferreira, Claire Gardent |
| 2022 | LREC | MTLens: Machine Translation Output Debugging. | Shreyas Sharma, Kareem Darwish, Lucas Pavanelli, Thiago Castro Ferreira, Mohamed Al-Badrashiny, Kamer Ali Yuksel, Hassan Sawaf |
| 2021 | INLG | Enriching the E2E dataset. | Thiago Castro Ferreira, Helena Vaz, Brian Davis, Adriana S. Pagano |
| 2021 | INLG | Another PASS: A Reproduction Study of the Human Evaluation of a Football Report Generation System. | Simon Mille, Thiago Castro Ferreira, Anya Belz, Brian Davis |
| 2021 | RANLP | Comparing Supervised Machine Learning Techniques for Genre Analysis in Software Engineering Research Articles. | Felipe Arajo de Britto, Thiago Castro Ferreira, Leonardo Pereira Nunes, Fernando Silva Parreiras |
| 2021 | RANLP | Evaluating Recognizing Question Entailment Methods for a Portuguese Community Question-Answering System about Diabetes Mellitus. | Thiago Castro Ferreira, Joo Victor de Pinho Costa, Isabela Rigotto, Vitoria Portella, Gabriel Frota, Ana Luisa A. R. Guimares, Adalberto Penna, Isabela Lee, Tayane Arantes Soares, Sophia Rolim, Rossana Cunha, Celso Frana, Ariel Santos, Rivaney F. Oliveira, Abisague Langbehn, Daniel Hasan Dalip, Marcos Andr Gonalves, Rodrigo Bastos Fscolo, Adriana S. Pagano |
| 2020 | COLING | Building The First English-Brazilian Portuguese Corpus for Automatic Post-Editing. | Felipe Almeida Costa, Thiago Castro Ferreira, Adriana S. Pagano, Wagner Meira Jr. |
| 2020 | COLING | Referring to what you know and do not know: Making Referring Expression Generation Models Generalize To Unseen Entities. | Rossana Cunha, Thiago Castro Ferreira, Adriana S. Pagano, Fbio Alves |
| 2020 | INLG | DaMata: A Robot-Journalist Covering the Brazilian Amazon Deforestation. | Andr Luiz Rosa Teixeira, Joo Campos, Rossana Cunha, Thiago Castro Ferreira, Adriana S. Pagano, Fbio Gagliardi Cozman |
| 2019 | EMNLP | Surface Realization Shared Task 2019 (MSR19): The Team 6 Approach. | Thiago Castro Ferreira, Emiel Krahmer |
| 2019 | EMNLP | Neural data-to-text generation: A comparison between pipeline and end-to-end architectures. | Thiago Castro Ferreira, Chris van der Lee, Emiel van Miltenburg, Emiel Krahmer |
| 2019 | RANLP | Question Similarity in Community Question Answering: A Systematic Exploration of Preprocessing Methods and Models. | Florian Kunneman, Thiago Castro Ferreira, Emiel Krahmer, Antal van den Bosch |
| 2018 | ACL | NeuralREG: An end-to-end approach to referring expression generation. | Thiago Castro Ferreira, Diego Moussallem, kos Kdr, Sander Wubben, Emiel Krahmer |
| 2018 | INLG | Enriching the WebNLG corpus. | Thiago Castro Ferreira, Diego Moussallem, Emiel Krahmer, Sander Wubben |
| 2018 | LREC | RDF2PT: Generating Brazilian Portuguese Texts from RDF Data. | Diego Moussallem, Thiago Castro Ferreira, Marcos Zampieri, Maria Cludia Cavalcanti, Geraldo Xexo, Mariana L. Neves, Axel-Cyrille Ngonga Ngomo |
| 2017 | EACL | Generating flexible proper name references in text: Data, models and evaluation. | Thiago Castro Ferreira, Emiel Krahmer, Sander Wubben |
| 2017 | INLG | Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation. | Thiago Castro Ferreira, Iacer Calixto, Sander Wubben, Emiel Krahmer |
| 2017 | INLG | Improving the generation of personalised descriptions. | Thiago Castro Ferreira, Ivandr Paraboni |
| 2016 | ACL | Towards more variation in text generation: Developing and evaluating variation models for choice of referential form. | Thiago Castro Ferreira, Emiel Krahmer, Sander Wubben |
| 2016 | INLG | Task demands and individual variation in referring expressions. | Adriana Baltaretu, Thiago Castro Ferreira |
| 2016 | INLG | Towards proper name generation: a corpus analysis. | Thiago Castro Ferreira, Sander Wubben, Emiel Krahmer |
| 2016 | NAACL | Individual Variation in the Choice of Referential Form. | Thiago Castro Ferreira, Emiel Krahmer, Sander Wubben |
| 2015 | ACL | Zoom: a corpus of natural language descriptions of map locations. | Romina Altamirano, Thiago Castro Ferreira, Ivandr Paraboni, Luciana Benotti |
| 2014 | CICLING | Classification-Based Referring Expression Generation. | Thiago Castro Ferreira, Ivandr Paraboni |