Next-Generation Natural Language Generation

Leveraging Low-resource Parallel Data for Text Style Transfer

Autori: Sourabrata Mukherjee, Ondřej Dušek
Pubblicato in: International Natural Language Generation Conference, Numero 16, 2023, ISBN 979-8-89176-001-1
Editore: Association for Computational Linguistics
DOI: 10.5281/zenodo.11373566

AARGH! End-to-end Retrieval-Generation for Task-Oriented Dialog

Autori: Tomáš Nekvinda, Ondřej Dušek
Pubblicato in: Annual Meeting of the Special Interest Group on Discourse and Dialogue, Numero 23, 2022, ISBN 978-1-955917-66-7
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2209.03632

"ReproHum #0043-4: Evaluating Summarization Models: Investigating the Impact of Education and Language Proficiency on Reproducibility"

Autori: Mateusz Lango, Patricia Schmidtová, Simone Balloccu, Ondřej Dušek
Pubblicato in: Workshop on Human Evaluation of NLP Systems, Numero 4, 2024, ISSN 2951-2093
Editore: ELRA and ICCL

VisuaLLM: Easy Web-based Visualization for Neural Language Generation

Autori: František Trebuňa, Ondřej Dušek
Pubblicato in: International Natural Language Generation Conference: System Demonstrations, Numero 16, 2023, ISBN 979-8-89176-002-8
Editore: Association for Computational Linguistics

MooseNet: A Trainable Metric for Synthesized Speech with a PLDA Module

Autori: Ondřej Plátek; Ondrej Dusek
Pubblicato in: ISCA Speech Synthesis Workshop, Numero 12, 2023
Editore: ISCA
DOI: 10.48550/arxiv.2301.07087

Three Ways of Using Large Language Models to Evaluate Chat

Autori: Ondřej Plátek, Vojtěch Hudeček, Patricia Schmidtová, Mateusz Lango, Ondřej Dušek
Pubblicato in: Dialog System Technology Challenge, Numero 11, 2023
Editore: Association for Computational Linguistics
DOI: 10.48550/arXiv.2308.06502

TabGenie: A Toolkit for Table-to-Text Generation

Autori: Zdeněk Kasner, Ekaterina Garanina, Ondřej Plátek, Ondřej Dušek
Pubblicato in: Annual Meeting of the Association for Computational Linguistics, Numero 61, 2023
Editore: 978-1-959429-70-8
DOI: 10.48550/arxiv.2302.14169

Neural Pipeline for Zero-Shot Data-to-Text Generation

Autori: Zdeněk Kasner, Ondřej Dušek
Pubblicato in: Annual Meeting of the Association for Computational Linguistics, Numero 60, 2022, ISBN 978-1-955917-21-6
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2203.16279

Sourabrata Mukherjee: Position Paper on Stylized Dialog Response Generation

Autori: Mukherjee, Sourabrata
Pubblicato in: 19th Annual Meeting of the Young Reseachers' Roundtable on Spoken Dialogue Systems, 2023
Editore: ACL ANTHOLOGY

Tackling Hallucinations in Neural Chart Summarization

Autori: Saad Obaid ul Islam, Iza Škrjanec, Ondřej Dušek, Vera Demberg
Pubblicato in: International Natural Language Generation Conference, Numero 16, 2023, ISBN 979-8-89176-001-1
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2308.00399

Polite Chatbot: A Text Style Transfer Application

Autori: Sourabrata Mukherjee, Vojtěch Hudeček, Ondřej Dušek
Pubblicato in: Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, Numero 17, 2023, ISBN 978-1-959429-48-7
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.eacl-srw.9

Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs

Autori: Simone Balloccu, Patrícia Schmidtová, Mateusz Lango, and Ondrej Dusek
Pubblicato in: Conference of the European Chapter of the Association for Computational Linguistics, Numero 18, 2024, ISBN 979-8-89176-088-2
Editore: Association for Computational Linguistics

Learning Interpretable Latent Dialogue Actions With Less Supervision

Autori: Vojtěch Hudeček, Ondřej Dušek
Pubblicato in: Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, Numero 2, 2022, ISBN 978-1-955917-65-0
Editore: Association for Computational Linguistics
DOI: 10.48550/arXiv.2209.11128

Mind the Labels: Describing Relations in Knowledge Graphs With Pretrained Models

Autori: Zdeněk Kasner, Ioannis Konstas, Ondřej Dušek
Pubblicato in: Conference of the European Chapter of the Association for Computational Linguistics, Numero 17, 2023, ISBN 978-1-959429-44-9
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2210.07373

Are Experts Needed? On Human Evaluation of Counselling Reflection Generation

Autori: Zixiu Wu, Simone Balloccu, Ehud Reiter, Rim Helaoui, Diego Reforgiato Recupero, Daniele Riboni
Pubblicato in: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023, ISBN 978-1-959429-72-2
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.acl-long.382

Low-Resource Text Style Transfer for Bangla: Data & Models

Autori: Sourabrata Mukherjee, Akanksha Bansal, Pritha Majumdar, Atul Kr. Ojha, Ondřej Dušek
Pubblicato in: Workshop on Bangla Language Processing, Numero 1, 2023, ISBN 979-8-89176-058-5
Editore: Association for Computational Linguistics
DOI: 10.5281/zenodo.11372105

With a Little Help from the Authors: Reproducing Human Evaluation of an MT Error Detector

Autori: Ondřej Plátek, Mateusz Lango, Ondřej Dušek
Pubblicato in: Workshop on Human Evaluation of NLP Systems, Numero 3, 2023, ISBN 978-954-452-088-5
Editore: INCOMA Ltd.
DOI: 10.48550/arXiv.2308.06527

Critic-Driven Decoding for Mitigating Hallucinations in Data-to-text Generation

Autori: Mateusz Lango, Ondřej Dušek
Pubblicato in: Conference on Empirical Methods in Natural Language Processing, 2023, ISBN 979-8-89176-060-8
Editore: Association for Computational Linguistics
DOI: 10.48550/arxiv.2310.16964

Two Reproductions of a Human-Assessed Comparative Evaluation of a Semantic Error Detection System

Autori: Huidrom, Rudali; Dušek, Ondřej; Kasner, Zdenek; Castro Ferreira, Thiago; Belz, Anya
Pubblicato in: International Conference on Natural Language Generation: Generation Challenges, Numero 15, 2022, ISBN 978-1-955917-60-5
Editore: Association for Computational Linguistics

Semantic Accuracy in Natural Language Generation: A Thesis Proposal

Autori: Patrícia Schmidtová
Pubblicato in: Annual Meeting of the Association for Computational Linguistics, Numero 61, vol. 4, 2023, ISBN 978-1-959429-69-2
Editore: Association for Computational Linguistics
DOI: 10.5281/zenodo.11373677

Are LLMs All You Need for Task-Oriented Dialogue?

Autori: Vojtěch Hudeček, Ondřej Dušek
Pubblicato in: Annual Meeting of the Special Interest Group on Discourse and Dialogue, Numero 24, 2023, ISBN 979-8-89176-028-8
Editore: Association for Computational Linguistics
DOI: 10.48550/arXiv.2304.06556

Better Translation + Split and Generate for Multilingual RDF-to-Text (WebNLG 2023)

Autori: Nalin Kumar, Saad Obaid Ul Islam, Ondřej Dušek
Pubblicato in: Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge, 2023
Editore: Association for Computational Linguistics
DOI: 10.5281/zenodo.11373606

Generating clickbait spoilers with an ensemble of large language models

Autori: Mateusz Woźny, Mateusz Lango
Pubblicato in: International Natural Language Generation Conference, Numero 16, 2023, ISBN 979-8-89176-001-1
Editore: Association for Computational Linguistics
DOI: 10.48550/arXiv.2404.15758

Frontiers in Artificial Intelligence and Applications

Autori: Jakub Raczyński, Mateusz Lango, Jerzy Stefanowski
Pubblicato in: European Conference on Artificial Intelligence, Numero 26, 2023, ISSN 0922-6389
Editore: IOS Press
DOI: 10.48550/arxiv.2312.11356

Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising

Autori: Sourabrata Mukherjee, Zdeněk Kasner, Ondřej Dušek
Pubblicato in: TEXT, SPEECH AND DIALOGUE, 2022, ISBN 9783031162695
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-16270-1_15

Barriers and enabling factors for error analysis in NLG research

Autori: Emiel Van Miltenburg; Miruna Clinciu; Ondřej Dušek; Dimitra Gkatzia; Stephanie Inglis; Leo Leppänen; Saad Mahamood; Stephanie Schoch; Craig Thomson; Luou Wen
Pubblicato in: Northern European Journal of Language Technology, Numero 9 (1), 2023, ISSN 2000-1533
Editore: Northern European Association of Language Technology
DOI: 10.3384/nejlt.2000-1533.2023.4529

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