{ "paper_id": "2021", "header": { "generated_with": "S2ORC 1.0.0", "date_generated": "2023-01-19T13:14:08.545199Z" }, "title": "Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2021): Workshop and Shared Task Report", "authors": [ { "first": "Ali", "middle": [], "last": "H\u00fcrriyetoglu", "suffix": "", "affiliation": {}, "email": "" }, { "first": "Hristo", "middle": [], "last": "Tanev", "suffix": "", "affiliation": {}, "email": "" }, { "first": "Vanni", "middle": [], "last": "Zavarella", "suffix": "", "affiliation": {}, "email": "" }, { "first": "Jakub", "middle": [], "last": "Piskorski", "suffix": "", "affiliation": {}, "email": "" }, { "first": "Reyyan", "middle": [], "last": "Yeniterzi", "suffix": "", "affiliation": {}, "email": "" }, { "first": "Deniz", "middle": [], "last": "Yuret", "suffix": "", "affiliation": {}, "email": "" }, { "first": "Aline", "middle": [], "last": "Villavicencio", "suffix": "", "affiliation": {}, "email": "" }, { "first": "Kristine", "middle": [], "last": "Eck", "suffix": "", "affiliation": {}, "email": "" }, { "first": "Tommaso", "middle": [], "last": "Caselli", "suffix": "", "affiliation": {}, "email": "" }, { "first": "Osman", "middle": [], "last": "Mutlu", "suffix": "", "affiliation": {}, "email": "" }, { "first": "Angelo", "middle": [], "last": "Basile", "suffix": "", "affiliation": {}, "email": "" } ], "year": "", "venue": null, "identifiers": {}, "abstract": "", "pdf_parse": { "paper_id": "2021", "_pdf_hash": "", "abstract": [], "body_text": [ { "text": "This workshop is the fourth issue of a series of workshops on automatic extraction of socio-political events from news, organized by the Emerging Market Welfare Project, with the support of the Joint Research Centre of the European Commission and with contributions from many other prominent scholars in this field. The purpose of this series of workshops is to foster research and development of reliable, valid, robust, and practical solutions for automatically detecting descriptions of socio-political events, such as protests, riots, wars and armed conflicts, in text streams. This year workshop contributors make use of the state-of-the-art NLP technologies, such as Deep Learning, Word Embeddings and Transformers and cover a wide range of topics from text classification to news bias detection. Around 40 teams have registered and 15 teams contributed to three tasks that are i) multilingual protest news detection detection, ii) fine-grained classification of socio-political events, and iii) discovering Black Lives Matter protest events. The workshop also highlights two keynote and four invited talks about various aspects of creating event data sets and multi-and cross-lingual machine learning in few-and zero-shot settings.", "cite_spans": [], "ref_spans": [], "eq_spans": [], "section": "", "sec_num": null } ], "back_matter": [ { "text": "Multilingual Protest News Detection -Shared Task 1, CASE 2021 Ali H\u00fcrriyetoglu, Osman Mutlu, Erdem Y\u00f6r\u00fck, Farhana Ferdousi Liza, Ritesh Kumar ", "cite_spans": [ { "start": 66, "end": 141, "text": "H\u00fcrriyetoglu, Osman Mutlu, Erdem Y\u00f6r\u00fck, Farhana Ferdousi Liza, Ritesh Kumar", "ref_id": null } ], "ref_spans": [], "eq_spans": [], "section": "Day 2", "sec_num": null } ], "bib_entries": { "BIBREF5": { "ref_id": "b5", "title": "Program Committee Tommaso Caselli", "authors": [ { "first": "Jakub", "middle": [], "last": "Piskorski", "suffix": "" } ], "year": null, "venue": "", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Jakub Piskorski (Polish Academy of Sciences, Poland), Program Committee Tommaso Caselli (University of Groningen, the Netherlands),", "links": null }, "BIBREF25": { "ref_id": "b25", "title": "Australia) Modality and Negation in Event Extraction Sander Bijl de Vroe, Liane Guillou, Milo\u0161 Stanojevi\u0107, Nick McKenna and Mark Steedman", "authors": [ { "first": "Alfred", "middle": [], "last": "Krzywicki", "suffix": "" }, { "first": "(unsw", "middle": [], "last": "Sydney", "suffix": "" } ], "year": null, "venue": "", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Alfred Krzywicki (UNSW Sydney, Australia) Modality and Negation in Event Extraction Sander Bijl de Vroe, Liane Guillou, Milo\u0161 Stanojevi\u0107, Nick McKenna and Mark Steedman . . . . . 31", "links": null }, "BIBREF26": { "ref_id": "b26", "title": "Characterizing News Portrayal of Civil Unrest in Hong Kong", "authors": [], "year": 1998, "venue": "", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998-2020", "links": null }, "BIBREF28": { "ref_id": "b28", "title": "Regressing Location on Text for", "authors": [ { "first": "", "middle": [ "J" ], "last": "Probabilistic Geocoding Benjamin", "suffix": "" }, { "first": ".", "middle": [ "." ], "last": "Radford", "suffix": "" } ], "year": null, "venue": "", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "Regressing Location on Text for Probabilistic Geocoding Benjamin J. 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Radford Extracting Events from Industrial Incident Reports Nitin Ramrakhiyani, Swapnil Hingmire, Sangameshwar Patil, Alok Kumar and Girish Palshikar Automatic Fake News Detection in Political Platforms -A Transformer-based Approach Shaina Raza", "authors": [ { "first": "James", "middle": [], "last": "Scharf", "suffix": "" }, { "first": "D", "middle": [], "last": "Arya", "suffix": "" }, { "first": "Giovanna", "middle": [ "Maria" ], "last": "Mccarthy", "suffix": "" }, { "first": "", "middle": [], "last": "Dora", "suffix": "" } ], "year": null, "venue": "", "volume": "", "issue": "", "pages": "", "other_ids": {}, "num": null, "urls": [], "raw_text": "James Scharf, Arya D. McCarthy and Giovanna Maria Dora Dore Regressing Location on Text for Probabilistic Geocoding Benjamin J. Radford Extracting Events from Industrial Incident Reports Nitin Ramrakhiyani, Swapnil Hingmire, Sangameshwar Patil, Alok Kumar and Girish Palshikar Automatic Fake News Detection in Political Platforms -A Transformer-based Ap- proach Shaina Raza", "links": null } }, "ref_entries": {} } }