{"corpus_id":32528128,"paper_sha":"a82f8c15424b8dd2f9db52e50f24f42da9545c66","doi":"10.3115/1075218.1075242","arxiv_id":null,"pmid":null,"pmcid":null,"mag_id":2045342304,"dblp_id":"conf/acl/JordanW00","acl_id":"P00-1024","title":"Learning Attribute Selections for Non-Pronominal Expressions","year":2000,"publication_date":"2000-10-03","venue":"Annual Meeting of the Association for Computational Linguistics","journal":{"name":null,"pages":"181-190","volume":null},"journal_issn":null,"journal_title":null,"publication_types":["JournalArticle","Conference"],"pubmed_pub_types":null,"s2_fields_of_study":["Computer Science"],"reference_count":21,"citation_count":35,"influential_citation_count":0,"is_open_access":false,"arxiv_categories":null,"arxiv_license":null,"arxiv_journal_ref":null,"mesh_headings":null,"chemicals":null,"comments_corrections":null,"source_flags":1,"s2_open_access_pdf_url":null,"s2_open_access_landing_url":null,"s2_open_access_license":null,"s2_open_access_status":null,"pmc_open_access_pdf_url":null,"pmc_open_access_landing_url":null,"pmc_open_access_license":null,"pmc_open_access_status":null,"unpaywall_open_access_pdf_url":null,"unpaywall_open_access_landing_url":null,"unpaywall_open_access_license":null,"unpaywall_open_access_status":null,"abstract":"A fundamental function of any task-oriented dialogue system is the ability to generate nominal expressions that describe objects in the task domain. In this paper, we report results from using machine learning to train and test a nominal-expression generator on a set of 393 nominal descriptions from the COCONUT corpus of task-oriented design dialogues. Results show that we can achieve a 50% match to human performance as opposed to a 16% baseline for just guessing the most frequent type of nominal expression in the COCONUT corpus. To our surprise our results indicate that many of the central features of previously proposed selection models did not improve the performance of the learned nominal-expression generator.","claims":[{"public_id":"cl_1b87a3bc1be03b3349d12130e137738a","status":"active","text":"A machine-learned nominal-expression generator trained and tested on 393 COCONUT nominal descriptions achieved a 50% match to human performance, compared with a 16% baseline from guessing the most frequent nominal-expression type.","confidence":0.97,"contributors":[{"id":1,"public_id":"12632b8b5f","public_label":"Anonymous (12632b8b5f)","roles":["extraction"],"url":"https://sah.borca.ai/u/12632b8b5f"}],"url":"https://sah.borca.ai/claims/cl_1b87a3bc1be03b3349d12130e137738a"},{"public_id":"cl_28564da377809cb2ea1c7d79dbe1290d","status":"active","text":"Many central features of previously proposed selection models did not improve the learned nominal-expression generator's 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