{"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/building-and-evaluating-open-domain-dialogue","title":"Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions","arxiv_id":"2109.05794","date":"2021-09-13","proceeding":"EMNLP 2021 11","authors":["Mohammad Aliannejadi","Julia Kiseleva","Aleksandr Chuklin","Jeffrey Dalton","Mikhail Burtsev"],"abstract":"Enabling open-domain dialogue systems to ask clarifying questions when appropriate is an important direction for improving the quality of the system response. Namely, for cases when a user request is not specific enough for a conversation system to provide an answer right away, it is desirable to ask a clarifying question to increase the chances of retrieving a satisfying answer. To address the problem of 'asking clarifying questions in open-domain dialogues': (1) we collect and release a new dataset focused on open-domain single- and multi-turn conversations, (2) we benchmark several state-of-the-art neural baselines, and (3) we propose a pipeline consisting of offline and online steps for evaluating the quality of clarifying questions in various dialogues. These contributions are suitable as a foundation for further research.","url_abs":"https://arxiv.org/abs/2109.05794v1","url_pdf":"https://arxiv.org/pdf/2109.05794v1.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":"building-and-evaluating-open-domain-dialogue","repo_url":"https://github.com/aliannejadi/ClariQ","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":"https://syntology.ai/paper/2109.05794","atlas_url":"https://app.syntology.ai/?focus=2109.05794","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2109.05794"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-25T09:33:49+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/aliannejadi/ClariQ","reach":null}],"summary":{"ran_draft_wrong":1,"unverified":1},"by_repo_kind":{"official":{"samples":2,"ran":1,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":2,"samples":[{"code_sha256_prefix":"e69f341242ae422f","entry":"get_eval_topic_file_paths","repo":"aliannejadi/ClariQ","repo_kind":"official","path":"src/clariq_eval_tool.py","file_url":"https://github.com/aliannejadi/ClariQ/blob/HEAD/src/clariq_eval_tool.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"OUTPUT_MISDECLARED","metamorphic_tier":null,"behaviour_fingerprint":true,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"e69f341242ae422f"}},{"code_sha256_prefix":"076376ab9a7aba12","entry":"evaluate_question_relevance","repo":"aliannejadi/ClariQ","repo_kind":"official","path":"src/clariq_eval_tool.py","file_url":"https://github.com/aliannejadi/ClariQ/blob/HEAD/src/clariq_eval_tool.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"076376ab9a7aba12"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}