{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/helping-crisis-responders-find-the","title":"Helping Crisis Responders Find the Informative Needle in the Tweet Haystack","arxiv_id":"1801.09633","date":"2018-01-29","proceeding":null,"authors":["Leon Derczynski","Kenny Meesters","Kalina Bontcheva","Diana Maynard"],"abstract":"Crisis responders are increasingly using social media, data and other digital\nsources of information to build a situational understanding of a crisis\nsituation in order to design an effective response. However with the increased\navailability of such data, the challenge of identifying relevant information\nfrom it also increases. This paper presents a successful automatic approach to\nhandling this problem. Messages are filtered for informativeness based on a\ndefinition of the concept drawn from prior research and crisis response\nexperts. Informative messages are tagged for actionable data -- for example,\npeople in need, threats to rescue efforts, changes in environment, and so on.\nIn all, eight categories of actionability are identified. The two components --\ninformativeness and actionability classification -- are packaged together as an\nopenly-available tool called Emina (Emergent Informativeness and\nActionability).","url_abs":"http://arxiv.org/abs/1801.09633v1","url_pdf":"http://arxiv.org/pdf/1801.09633v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"helping-crisis-responders-find-the","repo_url":"https://github.com/GateNLP/emina","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"informativeness","task_name":"Informativeness"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}