{"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/identifying-unclear-questions-in-community","title":"Identifying Unclear Questions in Community Question Answering Websites","arxiv_id":"1901.06168","date":"2019-01-18","proceeding":null,"authors":["Jan Trienes","Krisztian Balog"],"abstract":"Thousands of complex natural language questions are submitted to community\nquestion answering websites on a daily basis, rendering them as one of the most\nimportant information sources these days. However, oftentimes submitted\nquestions are unclear and cannot be answered without further clarification\nquestions by expert community members. This study is the first to investigate\nthe complex task of classifying a question as clear or unclear, i.e., if it\nrequires further clarification. We construct a novel dataset and propose a\nclassification approach that is based on the notion of similar questions. This\napproach is compared to state-of-the-art text classification baselines. Our\nmain finding is that the similar questions approach is a viable alternative\nthat can be used as a stepping stone towards the development of supportive user\ninterfaces for question formulation.","url_abs":"http://arxiv.org/abs/1901.06168v1","url_pdf":"http://arxiv.org/pdf/1901.06168v1.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":"identifying-unclear-questions-in-community","repo_url":"https://github.com/jantrienes/ecir2019-qac","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"community-question-answering","task_name":"Community Question Answering"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"question-answering","task_name":"Question Answering"},{"task_slug":"text-classification","task_name":"Text Classification"},{"task_slug":"text-classification-1","task_name":"text-classification"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/1901.06168","atlas_url":"https://app.syntology.ai/?focus=1901.06168","mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}