Bringing to the market a new generation of AI-powered Media Monitoring Tools

Informazioni relative al progetto

MONITIO

ID dell’accordo di sovvenzione: 965576

DOI 10.3030/965576

Progetto chiuso

Data della firma CE 30 Settembre 2020

Data di avvio 1 Marzo 2021

Data di completamento 31 Maggio 2023

Finanziato da

• Horizon 2020 Framework Programme

Costo totale € 2 615 060,00

Contributo UE € 2 050 216,25

Coordinato da

PRIBERAM INFORMATICA SA
Portugal

Risultati finali

Documents, reports (4)

Final report on Fact Checking and User Adaptability enhancement
MONITIO Investor Pack
Final Evaluation Report

Report on the Final Evaluation

First report on Fact Checking and User Adaptability enhancements

Demonstrators, pilots, prototypes (4)

Platform MVP

Demonstrator of the Platform MVP

Final platform AI tools for Fact Checking and User Adaptability

Demonstrator of Final platform AI tools for Fact Checking and User Adaptability

First platform AI tools for Fact Checking and User Adaptability

Demonstrator of First platform AI tools for Fact Checking and User Adaptability

Enhanced platform

Demonstrator of the Enhanced platform

Pubblicazioni

Conference proceedings (2)

Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification

Autori: Rami Aly and Andreas Vlachos
Pubblicato in: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022, Pagina/e 6123–6135
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.emnlp-main.411

Varifocal Question Generation for Fact-checking

Autori: Nedjma Djouhra Ousidhoum, Zhangdie Yuan and Andreas Vlachos
Pubblicato in: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022, Pagina/e 2532–2544
Editore: Association for Computational Linguistics
DOI: 10.18653/v1/2022.emnlp-main.163

Peer reviewed articles (2)

ProoFVer: Natural Logic Theorem Proving for Fact Verification

Autori: Amrith Krishna, Sebastian Riedel, Andreas Vlachos
Pubblicato in: Transactions of the Association for Computational Linguistics, Numero Volume 10, 2022, Pagina/e 1013-1030, ISSN 2307-387X
Editore: MIT Press Direct
DOI: 10.1162/tacl_a_00503

A Survey on Automated Fact-Checking

Autori: Zhijiang Guo, Michael Sejr Schlichtkrull, Andreas Vlachos
Pubblicato in: Transactions of the Association for Computational Linguistics, Numero Volume 10, 2022, Pagina/e 178–206, ISSN 2307-387X
Editore: MIT Press Direct
DOI: 10.1162/tacl_a_00454