Thiago Castro Ferreira

Orcid: 0000-0003-0200-3646

According to our database1, Thiago Castro Ferreira authored at least 36 papers between 2014 and 2024.

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Bibliography

2024
A Systematic Review of Data-to-Text NLG.
CoRR, 2024

Word-Level ASR Quality Estimation for Efficient Corpus Sampling and Post-Editing through Analyzing Attentions of a Reference-Free Metric.
CoRR, 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.
Comput. Linguistics, September, 2023

NoRefER: a Referenceless Quality Metric for Automatic Speech Recognition via Semi-Supervised Language Model Fine-Tuning with Contrastive Learning.
CoRR, 2023

A Reference-Less Quality Metric for Automatic Speech Recognition Via Contrastive-Learning of A Multi-Language Model with Self-Supervision.
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.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022
MTLens: Machine Translation Output Debugging.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Generating Questions from Wikidata Triples.
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.
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.
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.
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.
Proceedings of the 14th International Conference on Natural Language Generation, 2021

Enriching the E2E dataset.
Proceedings of the 14th International Conference on Natural Language Generation, 2021

2020
Data Driven and Psycholinguistics Motivated Approaches to Hate Speech Detection.
Computación y Sistemas, 2020

NABU - Multilingual Graph-Based Neural RDF Verbalizer.
Proceedings of the Semantic Web - ISWC 2020, 2020

DaMata: A Robot-Journalist Covering the Brazilian Amazon Deforestation.
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.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Building The First English-Brazilian Portuguese Corpus for Automatic Post-Editing.
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.
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.
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.
Proceedings of the 2nd Workshop on Multilingual Surface Realisation, 2019

2018
RDF2PT: Generating Brazilian Portuguese Texts from RDF Data.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Enriching the WebNLG corpus.
Proceedings of the 11th International Conference on Natural Language Generation, 2018

NeuralREG: An end-to-end approach to referring expression generation.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Generating natural language descriptions using speaker-dependent information.
Nat. Lang. Eng., 2017

Trainable Referring Expression Generation using Overspecification Preferences.
CoRR, 2017

Improving the generation of personalised descriptions.
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.
Proceedings of the 10th International Conference on Natural Language Generation, 2017

Generating flexible proper name references in text: Data, models and evaluation.
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.
Proceedings of the NAACL HLT 2016, 2016

Towards proper name generation: a corpus analysis.
Proceedings of the INLG 2016, 2016

Task demands and individual variation in referring expressions.
Proceedings of the INLG 2016, 2016

Towards more variation in text generation: Developing and evaluating variation models for choice of referential form.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Zoom: a corpus of natural language descriptions of map locations.
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.
Proceedings of the Text, Speech and Dialogue - 17th International Conference, 2014

Classification-Based Referring Expression Generation.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2014


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