Multilingual Flexible Neuro-Symbolic Language Generation

Informazioni relative al progetto

M-FleNS

ID dell’accordo di sovvenzione: 101062572

DOI

10.3030/101062572

Progetto chiuso

Data della firma CE 14 Luglio 2022

Data di avvio 1 Settembre 2022

Data di completamento 31 Agosto 2024

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 199 694,40

Coordinato da

DUBLIN CITY UNIVERSITY
Ireland

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Documents, reports (1)

Communication, Dissemination & Outreach Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Data Management Plan (1)

Data management plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected processed or generated by the action It is a document describing what data will be collected processed or generated and following what methodology and standards whether and how this data will be shared andor made open and how it will be curated and preserved

Pubblicazioni

Conference proceedings (12)

Filling Gaps in Wikipedia: Leveraging Data-to-Text Generation to Improve Encyclopedic Coverage of Underrepresented Groups

Autori: Simon Mille, Massimiliano Pronesti, Craig Thomson, Michela Lorandi, Sophie Fitzpatrick, Rudali Huidrom, Mohammed Sabry, Amy O’Riordan, Anya Belz
Pubblicato in: Proceedings of the 17th International Natural Language Generation Conference: System Demonstrations, 2024
Editore: Association for Computational Linguistics

The INLG 2024 Tutorial on Human Evaluation of NLP System Quality: Background, Overall Aims, and Summaries of Taught Units

Autori: Anya Belz, João Sedoc, Craig Thomson, Simon Mille, Rudali Huidrom
Pubblicato in: Proceedings of the 17th International Natural Language Generation Conference: Tutorial Abstract, 2024
Editore: Association for Computational Linguistics

QCET: An Interactive Taxonomy of Quality Criteria for Comparable and Repeatable Evaluation of NLP Systems

Autori: Anya Belz, Simon Mille, Craig Thomson, Rudali Huidrom
Pubblicato in: Proceedings of the 17th International Natural Language Generation Conference: System Demonstrations, 2024
Editore: Association for Computational Linguistics

Generating Irish Text with a Flexible Plug-and-Play Architecture

Autori: Simon Mille, Elaine Uí Dhonnchadha, Lauren Cassidy, Brian Davis, Stamatia Dasiopoulou, Anya Belz
Pubblicato in: Proceedings of the 2nd Workshop on Pattern-based Approaches to NLP in the Age of Deep Learning, 2023
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.pandl-1.4

DCU/TCD-FORGe at WebNLG’23: Irish rules!

Autori: Simon Mille, Elaine Uí Dhonnchadha, Stamatia Dasiopoulou, Lauren Cassidy, Brian Davis, Anya Belz
Pubblicato in: Proceedings of the Workshop on Multimodal, Multilingual Natural Language Generation and Multilingual WebNLG Challenge (MM-NLG 2023), 2023
Editore: Association for Computational Linguistics

DCU-NLG-Small at the GEM’24 Data-to-Text Task: Rule-based generation and post-processing with T5-Base

Autori: Simon Mille, Mohammed Sabry, Anya Belz
Pubblicato in: Proceedings of the 17th International Natural Language Generation Conference: Generation Challenges, 2024
Editore: Association for Computational Linguistics

Mod-D2T: A Multi-layer Dataset for Modular Data-to-Text Generation

Autori: Simon Mille, Francois Lareau, Stamatia Dasiopoulou, Anya Belz
Pubblicato in: Proceedings of the 16th International Natural Language Generation Conference, 2023
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.inlg-main.36

On the Role of Summary Content Units in Text Summarization Evaluation

Autori: Marcel Nawrath, Agnieszka Nowak, Tristan Ratz, Danilo Walenta, Juri Opitz, Leonardo Ribeiro, João Sedoc, Daniel Deutsch, Simon Mille, Yixin Liu, Sebastian Gehrmann, Lining Zhang, Saad Mahamood, Miruna Clinciu, Khyathi Chandu, Yufang Hou
Pubblicato in: Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers), 2024
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2024.naacl-short.25

A Needle in a Haystack: An Analysis of High-Agreement Workers on MTurk for Summarization

Autori: Lining Zhang, Simon Mille, Yufang Hou, Daniel Deutsch, Elizabeth Clark, Yixin Liu, Saad Mahamood, Sebastian Gehrmann, Miruna Clinciu, Khyathi Raghavi Chandu, João Sedoc
Pubblicato in: Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.acl-long.835

The 2024 GEM Shared Task on Multilingual Data-to-Text Generation and Summarization: Overview and Preliminary Results

Autori: Simon Mille, João Sedoc, Yixin Liu, Elizabeth Clark, Agnes Johanna Axelsson, Miruna Adriana Clinciu, Yufang Hou, Saad Mahamood, Ishmael Nyunya Obonyo, Lining Zhang
Pubblicato in: Proceedings of the 17th International Natural Language Generation Conference: Generation Challenges, 2024
Editore: Association for Computational Linguistics

A Pipeline for Extracting Abstract Dependency Templates for Data-to-Text Natural Language Generation

Autori: Simon Mille, Josep Ricci, Alexander Shvets, Anya Belz
Pubblicato in: Proceedings of the Seventh International Conference on Dependency Linguistics (Depling, GURT/SyntaxFest 2023), 2023
Editore: Association for Computational Linguistics

Non-Repeatable Experiments and Non-Reproducible Results: The Reproducibility Crisis in Human Evaluation in NLP

Autori: Anya Belz, Craig Thomson, Ehud Reiter, Simon Mille
Pubblicato in: Findings of the Association for Computational Linguistics: ACL 2023, 2023
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2023.findings-acl.226