Thiago Castro Ferreira

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 42

Top Topics

Machine Translation

Brazilian Portuguese

Automatic Speech Recognition

Top Venues

Publications

Chinonso Cynthia Osuji, Thiago Castro Ferreira, Brian Davis
A Systematic Review of Data-to-Text NLG. CoRR (2024)
Golara Javadi, Kamer Ali Yuksel, Yunsu Kim, Thiago Castro Ferreira, Mohamed Al-Badrashiny
Word-Level ASR Quality Estimation for Efficient Corpus Sampling and Post-Editing through Analyzing Attentions of a Reference-Free Metric. CoRR (2024)
Rossana Cunha, Thiago Castro Ferreira, Adriana S. Pagano, Fábio Alves
A Persona-Based Corpus in the Diabetes Self-Care Domain - Applying a Human-Centered Approach to a Low-Resource Context. LREC/COLING (2024)
Chris van der Lee, Thiago Castro Ferreira, Chris Emmery, Travis J. Wiltshire, Emiel Krahmer
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. Comput. Linguistics 49 (3) (2023)
Kamer Ali Yuksel, Thiago Castro Ferreira, Ahmet Gunduz, Mohamed Al-Badrashiny, Golara Javadi
A Reference-less Quality Metric for Automatic Speech Recognition via Contrastive-Learning of a Multi-Language Model with Self-Supervision. CoRR (2023)
Lucas Pavanelli, Yohan Bonescki Gumiel, Thiago Castro Ferreira, Adriana S. Pagano, Eduardo Sany Laber
Bete: A Brazilian Portuguese Dataset for Named Entity Recognition and Relation Extraction in the Diabetes Healthcare Domain. BRACIS (3) (2023)
Kamer Ali Yuksel, Thiago Castro Ferreira, Ahmet Gunduz, Mohamed Al-Badrashiny, Golara Javadi
A Reference-Less Quality Metric for Automatic Speech Recognition Via Contrastive-Learning of A Multi-Language Model with Self-Supervision. ICASSP Workshops (2023)
Kamer Ali Yuksel, Thiago Castro Ferreira, Golara Javadi, Mohamed Al-Badrashiny, Ahmet Gunduz
NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive Learning. CoRR (2023)
Kamer Ali Yuksel, Thiago Castro Ferreira, Golara Javadi, Mohamed Al-Badrashiny, Ahmet Gunduz
NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive Learning. INTERSPEECH (2023)
Shreyas Sharma, Kareem Darwish, Lucas Pavanelli, Thiago Castro Ferreira, Mohamed Al-Badrashiny, Kamer Ali Yuksel, Hassan Sawaf
MTLens: Machine Translation Output Debugging. LREC (2022)
Chris van der Lee, Thiago Castro Ferreira, Chris Emmery, Travis Wiltshire, Emiel Krahmer
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. CoRR (2022)
Kelvin Han, Thiago Castro Ferreira, Claire Gardent
Generating Questions from Wikidata Triples. LREC (2022)
Felipe Araújo de Britto, Thiago Castro Ferreira, Leonardo Pereira Nunes, Fernando Silva Parreiras
Comparing Supervised Machine Learning Techniques for Genre Analysis in Software Engineering Research Articles. RANLP (2021)
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 Pagano
Evaluating Recognizing Question Entailment Methods for a Portuguese Community Question-Answering System about Diabetes Mellitus. RANLP (2021)
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 Pagano
PUCRJ-PUCPR-UFMG at eHealth-KD Challenge 2021: A Multilingual BERT-based System for Joint Entity Recognition and Relation Extraction. IberLEF@SEPLN (2021)
Simon Mille, Thiago Castro Ferreira, Anya Belz, Brian Davis
Another PASS: A Reproduction Study of the Human Evaluation of a Football Report Generation System. INLG (2021)
Thiago Castro Ferreira, Helena Vaz, Brian Davis, Adriana Pagano
Enriching the E2E dataset. INLG (2021)
Rossana Cunha, Thiago Castro Ferreira, Adriana Pagano, Fábio Alves
Referring to what you know and do not know: Making Referring Expression Generation Models Generalize To Unseen Entities. COLING (2020)
Felipe Almeida Costa, Thiago Castro Ferreira, Adriana Pagano, Wagner Meira Jr.
Building The First English-Brazilian Portuguese Corpus for Automatic Post-Editing. COLING (2020)
Diego Moussallem, Dwaraknath Gnaneshwar, Thiago Castro Ferreira, Axel-Cyrille Ngonga Ngomo
NABU - Multilingual Graph-Based Neural RDF Verbalizer. ISWC (1) (2020)
Samuel Caetano da Silva, Thiago Castro Ferreira, Ricelli Moreira Silva Ramos, Ivandré Paraboni
Data Driven and Psycholinguistics Motivated Approaches to Hate Speech Detection. Computación y Sistemas 24 (3) (2020)
Diego Moussallem, Dwaraknath Gnaneshwar, Thiago Castro Ferreira, Axel-Cyrille Ngonga Ngomo
NABU - Multilingual Graph-based Neural RDF Verbalizer. CoRR (2020)
André Luiz Rosa Teixeira, João Campos, Rossana Cunha, Thiago Castro Ferreira, Adriana Pagano, Fábio Gagliardi Cozman
DaMata: A Robot-Journalist Covering the Brazilian Amazon Deforestation. INLG (2020)
Thiago Castro Ferreira, Chris van der Lee, Emiel van Miltenburg, Emiel Krahmer
Neural data-to-text generation: A comparison between pipeline and end-to-end architectures. EMNLP/IJCNLP (1) (2019)
Florian Kunneman, Thiago Castro Ferreira, Antal van den Bosch, Emiel Krahmer
Question Similarity in Community Question Answering: A Systematic Exploration of Preprocessing Methods and Models. BNAIC/BENELEARN (2019)
Florian Kunneman, Thiago Castro Ferreira, Emiel Krahmer, Antal van den Bosch
Question Similarity in Community Question Answering: A Systematic Exploration of Preprocessing Methods and Models. RANLP (2019)
Thiago Castro Ferreira, Emiel Krahmer
Surface Realization Shared Task 2019 (MSR19): The Team 6 Approach. MSR@EMNLP-IJCNLP (2019)
Thiago Castro Ferreira, Chris van der Lee, Emiel van Miltenburg, Emiel Krahmer
Neural data-to-text generation: A comparison between pipeline and end-to-end architectures. CoRR (2019)
Thiago Castro Ferreira, Diego Moussallem, Ákos Kádár, Sander Wubben, Emiel Krahmer
NeuralREG: An end-to-end approach to referring expression generation. ACL (1) (2018)
Diego Moussallem, Thiago Castro Ferreira, Marcos Zampieri, Maria Cláudia Cavalcanti, Geraldo Xexéo, Mariana L. Neves, Axel-Cyrille Ngonga Ngomo
RDF2PT: Generating Brazilian Portuguese Texts from RDF Data. LREC (2018)
Thiago Castro Ferreira, Diego Moussallem, Emiel Krahmer, Sander Wubben
Enriching the WebNLG corpus. INLG (2018)
Thiago Castro Ferreira, Diego Moussallem, Ákos Kádár, Sander Wubben, Emiel Krahmer
NeuralREG: An end-to-end approach to referring expression generation. CoRR (2018)
Diego Moussallem, Thiago Castro Ferreira, Marcos Zampieri, Maria Cláudia Cavalcanti, Geraldo Xexéo, Mariana L. Neves, Axel-Cyrille Ngonga Ngomo
RDF2PT: Generating Brazilian Portuguese Texts from RDF Data. CoRR (2018)
Thiago Castro Ferreira, Iacer Calixto, Sander Wubben, Emiel Krahmer
Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation. INLG (2017)
Thiago Castro Ferreira, Ivandré Paraboni
Trainable Referring Expression Generation using Overspecification Preferences. CoRR (2017)
Thiago Castro Ferreira, Ivandré Paraboni
Generating natural language descriptions using speaker-dependent information. Nat. Lang. Eng. 23 (6) (2017)
Thiago Castro Ferreira, Ivandré Paraboni
Improving the generation of personalised descriptions. INLG (2017)
Thiago Castro Ferreira, Emiel Krahmer, Sander Wubben
Generating flexible proper name references in text: Data, models and evaluation. EACL (1) (2017)
Adriana Baltaretu, Thiago Castro Ferreira
Task demands and individual variation in referring expressions. INLG (2016)
Thiago Castro Ferreira, Emiel Krahmer, Sander Wubben
Towards more variation in text generation: Developing and evaluating variation models for choice of referential form. ACL (1) (2016)
Thiago Castro Ferreira, Sander Wubben, Emiel Krahmer
Towards proper name generation: a corpus analysis. INLG (2016)
Thiago Castro Ferreira, Emiel Krahmer, Sander Wubben
Individual Variation in the Choice of Referential Form. HLT-NAACL (2016)
Romina Altamirano, Thiago Castro Ferreira, Ivandré Paraboni, Luciana Benotti
Zoom: a corpus of natural language descriptions of map locations. ACL (2) (2015)
Thiago Castro Ferreira, Ivandré Paraboni
Referring Expression Generation: Taking Speakers' Preferences into Account. TSD (2014)
Thiago Castro Ferreira, Ivandré Paraboni
Classification-Based Referring Expression Generation. CICLing (1) (2014)