Thiago Castro Ferreira

According to our database, Thiago Castro Ferreira authored at least 40 papers between 2014 and 2024.

Collaborative distances:

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

2024

AutoMode-ASR: Learning to Select ASR Systems for Better Quality and Cost.

Ahmet Gunduz, Yunsu Kim, Kamer Ali Yuksel, Mohamed Al-Badrashiny, Thiago Castro Ferreira, Hassan Sawaf

CoRR, 2024

A Systematic Review of Data-to-Text NLG.

Chinonso Cynthia Osuji, Thiago Castro Ferreira, Brian Davis

CoRR, 2024

aiXplain SDK: A High-Level and Standardized Toolkit for AI Assets.

Shreyas Sharma, Lucas Pavanelli, Thiago Castro Ferreira, Mohamed Al-Badrashiny, Hassan Sawaf

Proceedings of the 17th International Natural Language Generation Conference, 2024

Pipeline Neural Data-to-text with Large Language Models.

Chinonso Cynthia Osuji, Brian Timoney, Thiago Castro Ferreira, Brian Davis

Proceedings of the 17th International Natural Language Generation Conference, 2024

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

Proceedings of the IEEE International Conference on Acoustics, 2024

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, Fábio Alves

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language Model.

Chris van der Lee, Thiago Castro Ferreira, Chris Emmery, Travis J. Wiltshire, Emiel Krahmer

Comput. Linguistics, September, 2023

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

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

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

Proceedings of the IEEE International Conference on Acoustics, 2023

Bete: A Brazilian Portuguese Dataset for Named Entity Recognition and Relation Extraction in the Diabetes Healthcare Domain.

Lucas Pavanelli, Yohan Bonescki Gumiel, Thiago Castro Ferreira, Adriana S. Pagano, Eduardo Sany Laber

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022

MTLens: Machine Translation Output Debugging.

Shreyas Sharma, Kareem Darwish, Lucas Pavanelli, Thiago Castro Ferreira, Mohamed Al-Badrashiny, Kamer Ali Yuksel, Hassan Sawaf

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Generating Questions from Wikidata Triples.

Kelvin Han, Thiago Castro Ferreira, Claire Gardent

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021

PUCRJ-PUCPR-UFMG at eHealth-KD Challenge 2021: A Multilingual BERT-based System for Joint Entity Recognition and Relation Extraction.

Lucas Pavanelli, Elisa Terumi Rubel Schneider, Yohan Bonescki Gumiel, Thiago Castro Ferreira, Lucas Ferro Antunes de Oliveira, João Vitor Andrioli de Souza, Giovanni Pazini Meneghel Paiva, Lucas Emanuel Silva e Oliveira, Claudia Maria Cabral Moro, Emerson Cabrera Paraiso, Adriana S. Pagano

Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2021) co-located with the Conference of the Spanish Society for Natural Language Processing (SEPLN 2021), 2021

Evaluating Recognizing Question Entailment Methods for a Portuguese Community Question-Answering System about Diabetes Mellitus.

Thiago Castro Ferreira, João Victor de Pinho Costa, Isabela Rigotto, Vitoria Portella, Gabriel Frota, Ana Luisa A. R. Guimarães, Adalberto Penna, Isabela Lee, Tayane A. Soares, Sophia Rolim, Rossana Cunha, Celso França, Ariel Santos, Rivaney F. Oliveira, Abisague Langbehn, Daniel Hasan Dalip, Marcos André Gonçalves, Rodrigo Bastos Fóscolo, Adriana S. Pagano

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

Comparing Supervised Machine Learning Techniques for Genre Analysis in Software Engineering Research Articles.

Felipe Araújo de Britto, Thiago Castro Ferreira, Leonardo Pereira Nunes, Fernando Silva Parreiras

Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 2021

Another PASS: A Reproduction Study of the Human Evaluation of a Football Report Generation System.

Simon Mille, Thiago Castro Ferreira, Anya Belz, Brian Davis

Proceedings of the 14th International Conference on Natural Language Generation, 2021

Enriching the E2E dataset.

Thiago Castro Ferreira, Helena Vaz, Brian Davis, Adriana S. Pagano

Proceedings of the 14th International Conference on Natural Language Generation, 2021

2020

Data Driven and Psycholinguistics Motivated Approaches to Hate Speech Detection.

Samuel Caetano da Silva, Thiago Castro Ferreira, Ricelli Moreira Silva Ramos, Ivandré Paraboni

Computación y Sistemas, 2020

NABU - Multilingual Graph-Based Neural RDF Verbalizer.

Diego Moussallem, Dwaraknath Gnaneshwar, Thiago Castro Ferreira, Axel-Cyrille Ngonga Ngomo

Proceedings of the Semantic Web - ISWC 2020, 2020

DaMata: A Robot-Journalist Covering the Brazilian Amazon Deforestation.

André Luiz Rosa Teixeira, João Campos, Rossana Cunha, Thiago Castro Ferreira, Adriana S. Pagano, Fábio Gagliardi Cozman

Proceedings of the 13th International Conference on Natural Language Generation, 2020

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, Fábio Alves

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Building The First English-Brazilian Portuguese Corpus for Automatic Post-Editing.

Felipe Almeida Costa, Thiago Castro Ferreira, Adriana S. Pagano, Wagner Meira Jr.

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

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

Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

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

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Surface Realization Shared Task 2019 (MSR19): The Team 6 Approach.

Thiago Castro Ferreira, Emiel Krahmer

Proceedings of the 2nd Workshop on Multilingual Surface Realisation, 2019

2018

RDF2PT: Generating Brazilian Portuguese Texts from RDF Data.

Diego Moussallem, Thiago Castro Ferreira, Marcos Zampieri, Maria Cláudia Cavalcanti, Geraldo Xexéo, Mariana L. Neves, Axel-Cyrille Ngonga Ngomo

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Enriching the WebNLG corpus.

Thiago Castro Ferreira, Diego Moussallem, Emiel Krahmer, Sander Wubben

Proceedings of the 11th International Conference on Natural Language Generation, 2018

NeuralREG: An end-to-end approach to referring expression generation.

Thiago Castro Ferreira, Diego Moussallem, Ákos Kádár, Sander Wubben, Emiel Krahmer

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Generating natural language descriptions using speaker-dependent information.

Thiago Castro Ferreira, Ivandré Paraboni

Nat. Lang. Eng., 2017

Trainable Referring Expression Generation using Overspecification Preferences.

Thiago Castro Ferreira, Ivandré Paraboni

CoRR, 2017

Improving the generation of personalised descriptions.

Thiago Castro Ferreira, Ivandré Paraboni

Proceedings of the 10th International Conference on Natural Language Generation, 2017

Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation.

Thiago Castro Ferreira, Iacer Calixto, Sander Wubben, Emiel Krahmer

Proceedings of the 10th International Conference on Natural Language Generation, 2017

Generating flexible proper name references in text: Data, models and evaluation.

Thiago Castro Ferreira, Emiel Krahmer, Sander Wubben

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Individual Variation in the Choice of Referential Form.

Thiago Castro Ferreira, Emiel Krahmer, Sander Wubben

Proceedings of the NAACL HLT 2016, 2016

Towards proper name generation: a corpus analysis.

Thiago Castro Ferreira, Sander Wubben, Emiel Krahmer

Proceedings of the INLG 2016, 2016

Task demands and individual variation in referring expressions.

Adriana Baltaretu, Thiago Castro Ferreira

Proceedings of the INLG 2016, 2016

Towards more variation in text generation: Developing and evaluating variation models for choice of referential form.

Thiago Castro Ferreira, Emiel Krahmer, Sander Wubben

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Zoom: a corpus of natural language descriptions of map locations.

Romina Altamirano, Thiago Castro Ferreira, Ivandré Paraboni, Luciana Benotti

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Referring Expression Generation: Taking Speakers' Preferences into Account.

Thiago Castro Ferreira, Ivandré Paraboni

Proceedings of the Text, Speech and Dialogue - 17th International Conference, 2014

Classification-Based Referring Expression Generation.

Thiago Castro Ferreira, Ivandré Paraboni

Proceedings of the Computational Linguistics and Intelligent Text Processing, 2014