Monitoring Fact Preservation, Grammatical Consistency and Ethical Behavior of Abstractive Summarization Neural Models

no code implementations • RANLP 2021 • Iva Marinova, Yolina Petrova, Milena Slavcheva, Petya Osenova, Ivaylo Radev, Kiril Simov

The paper describes a system for automatic summarization in English language of online news data that come from different non-English languages.

Abstractive Text Summarization Fact Checking

Extended Multilingual Protest News Detection -- Shared Task 1, CASE 2021 and 2022

no code implementations • 21 Nov 2022 • Ali Hürriyetoğlu, Osman Mutlu, Fırat Duruşan, Onur Uca, Alaeddin Selçuk Gürel, Benjamin Radford, Yaoyao Dai, Hansi Hettiarachchi, Niklas Stoehr, Tadashi Nomoto, Milena Slavcheva, Francielle Vargas, Aaqib Javid, Fatih Beyhan, Erdem Yörük

The CASE 2022 extension consists of expanding the test data with more data in previously available languages, namely, English, Hindi, Portuguese, and Spanish, and adding new test data in Mandarin, Turkish, and Urdu for Sub-task 1, document classification.

Document Classification Event Detection +3