Classification-Based Referring Expression Generation. - Thiago Castro Ferreira; Ivandré Paraboni (CICLing (1), 2014)

Referring Expression Generation: Taking Speakers' Preferences into Account. - Thiago Castro Ferreira; Ivandré Paraboni (TSD, 2014)

Zoom: a corpus of natural language descriptions of map locations. - Romina Altamirano; Thiago Castro Ferreira; Ivandré Paraboni; Luciana Benotti (ACL (2), 2015)

Towards more variation in text generation: Developing and evaluating variation models for choice of referential form. - Thiago Castro Ferreira; Emiel Krahmer; Sander Wubben (ACL (1), 2016)

Task demands and individual variation in referring expressions. - Adriana Baltaretu; Thiago Castro Ferreira (INLG, 2016)

Towards proper name generation: a corpus analysis. - Thiago Castro Ferreira; Sander Wubben; Emiel Krahmer (INLG, 2016)

Individual Variation in the Choice of Referential Form. - Thiago Castro Ferreira; Emiel Krahmer; Sander Wubben (HLT-NAACL, 2016)

Generating flexible proper name references in text: Data, models and evaluation. - Thiago Castro Ferreira; Emiel Krahmer; Sander Wubben (EACL (1), 2017)

Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation. - Thiago Castro Ferreira; Iacer Calixto; Sander Wubben; Emiel Krahmer (INLG, 2017)

Improving the generation of personalised descriptions. - Thiago Castro Ferreira; Ivandré Paraboni (INLG, 2017)

Trainable Referring Expression Generation using Overspecification Preferences. - Thiago Castro Ferreira; Ivandré Paraboni (CoRR, 2017)

Generating natural language descriptions using speaker-dependent information. - Thiago Castro Ferreira; Ivandré Paraboni (Nat. Lang. Eng., 2017)

NeuralREG: An end-to-end approach to referring expression generation. - Thiago Castro Ferreira; Diego Moussallem; Ákos Kádár; Sander Wubben; Emiel Krahmer (ACL (1), 2018)

Enriching the WebNLG corpus. - Thiago Castro Ferreira; Diego Moussallem; Emiel Krahmer; Sander Wubben (INLG, 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 (LREC, 2018)

Surface Realization Shared Task 2019 (MSR19): The Team 6 Approach. - Thiago Castro Ferreira; Emiel Krahmer (MSR@EMNLP-IJCNLP, 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 (EMNLP/IJCNLP (1), 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 (RANLP, 2019)

Building The First English-Brazilian Portuguese Corpus for Automatic Post-Editing. - Felipe Almeida Costa; Thiago Castro Ferreira; Adriana S. Pagano; Wagner Meira Jr. (COLING, 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 (COLING, 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 (INLG, 2020)

NABU - Multilingual Graph-Based Neural RDF Verbalizer. - Diego Moussallem; Dwaraknath Gnaneshwar; Thiago Castro Ferreira; Axel-Cyrille Ngonga Ngomo (ISWC (1), 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)

Enriching the E2E dataset. - Thiago Castro Ferreira; Helena Vaz; Brian Davis; Adriana S. Pagano (INLG, 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 (INLG, 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 (RANLP, 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; et al. (RANLP, 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 (IberLEF@SEPLN, 2021)

Generating Questions from Wikidata Triples. - Kelvin Han; Thiago Castro Ferreira; Claire Gardent (LREC, 2022)

MTLens: Machine Translation Output Debugging. - Shreyas Sharma; Kareem Darwish; Lucas Pavanelli; Thiago Castro Ferreira; Mohamed Al-Badrashiny; Kamer Ali Yuksel; Hassan Sawaf (LREC, 2022)

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 (BRACIS (3), 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 (ICASSP Workshops, 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 (INTERSPEECH, 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, 2023)

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 (LREC/COLING, 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 005; Thiago Castro Ferreira; Mohamed Al-Badrashiny (ICASSP Workshops, 2024)

Pipeline Neural Data-to-text with Large Language Models. - Chinonso Cynthia Osuji; Brian Timoney; Thiago Castro Ferreira; Brian Davis (INLG, 2024)

aiXplain SDK: A High-Level and Standardized Toolkit for AI Assets. - Shreyas Sharma; Lucas Pavanelli; Thiago Castro Ferreira; Mohamed Al-Badrashiny; Hassan Sawaf (INLG, 2024)

AutoMode-ASR: Learning to Select ASR Systems for Better Quality and Cost. - Ahmet Gunduz; Yunsu Kim 005; Kamer Ali Yuksel; Mohamed Al-Badrashiny; Thiago Castro Ferreira; Hassan Sawaf (SPECOM (1), 2024)

A Systematic Review of Data-to-Text NLG. - Chinonso Cynthia Osuji; Thiago Castro Ferreira; Brian Davis (CoRR, 2024)

Bel Esprit: Multi-Agent Framework for Building AI Model Pipelines. - Yunsu Kim 005; AhmedElmogtaba Abdelaziz; Thiago Castro Ferreira; Mohamed Al-Badrashiny; Hassan Sawaf (CoRR, 2024)