@inproceedings{6fc9d1e535d64b979780178add10cba0,
title = "The Causal News Corpus: Annotating Causal Relations in Event Sentences from News",
keywords = "causality, event causality, natural language understanding, text mining",
author = "Tan, {Fiona Anting} and Ali H{\"u}rriyetoğlu and Tommaso Caselli and Nelleke Oostdijk and Tadashi Nomoto and Hansi Hettiarachchi and Iqra Ameer and Onur Uca and Liza, {Farhana Ferdousi} and Tiancheng Hu",
note = "Funding Information: This project is supported by the National Research Foundation, Singapore under its Industry Alignment Fund – Pre-positioning (IAF-PP) Funding Initiative. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of National Research Foundation, Singapore. Publisher Copyright: {\textcopyright} European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0.; 13th International Conference on Language Resources and Evaluation Conference, LREC 2022 ; Conference date: 20-06-2022 Through 25-06-2022",
year = "2022",
language = "English",
series = "2022 Language Resources and Evaluation Conference, LREC 2022",
publisher = "European Language Resources Association (ELRA)",
pages = "2298--2310",
editor = "Nicoletta Calzolari and Frederic Bechet and Philippe Blache and Khalid Choukri and Christopher Cieri and Thierry Declerck and Sara Goggi and Hitoshi Isahara and Bente Maegaard and Joseph Mariani and Helene Mazo and Jan Odijk and Stelios Piperidis",
booktitle = "2022 Language Resources and Evaluation Conference, LREC 2022",
}