{"id":425436,"date":"2017-09-17T13:07:59","date_gmt":"2017-09-17T20:07:59","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/?post_type=msr-research-item&#038;p=425436"},"modified":"2018-10-16T20:16:06","modified_gmt":"2018-10-17T03:16:06","slug":"sequence-sequence-modeling-user-simulation-dialog-systems","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/sequence-sequence-modeling-user-simulation-dialog-systems\/","title":{"rendered":"Sequence to Sequence Modeling for User Simulation in Dialog Systems"},"content":{"rendered":"\n\n\n<p class=\"wp-block-paragraph\">User simulators are a principal offline method for training and evaluating human-computer dialog systems. In this paper, we examine simple sequence-to-sequence neural network architectures for training end-to-end, natural language to natural language, user simulators, using only raw logs of previous interactions without any additional human labelling. We compare the neural network-based simulators with a language model (LM)-based approach for creating natural language user simulators. Using both an automatic evaluation using LM perplexity and a human evaluation, we demonstrate that the sequence-to-sequence approaches outperform the LM-based method. We show correlation between LM perplexity and the human evaluation on this task, and discuss the benefits of different neural network architecture variations.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8212;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Example sessions that were generated when running the <a href=\"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2017\/09\/End-to-End-Integration-with-Desktop-Cortana.pptx\">seq2seq user simulator models with Cortana.<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>User simulators are a principal offline method for training and evaluating human-computer dialog systems. In this paper, we examine simple sequence-to-sequence neural network architectures for training end-to-end, natural language to natural language, user simulators, using only raw logs of previous interactions without any additional human labelling. We compare the neural network-based simulators with a language [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":[{"type":"user_nicename","value":"pacrook","user_id":"33177"},{"type":"user_nicename","value":"alemari","user_id":"35510"}],"msr_publishername":"ISCA - International Speech Communication Association","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"1706\u20131710","msr_page_range_start":"1706","msr_page_range_end":"1710","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"Proceedings of the 18th Annual Conference of the International Speech Communication Association (INTERSPEECH 2017)","msr_doi":"","msr_arxiv_id":"","msr_mag_id":"","msr_other_authors":"","msr_other_contributors":"","msr_speaker":"","msr_award":"","msr_affiliation":"","msr_institution":"","msr_host":"","msr_version":"","msr_duration":"","msr_release_tracker_id":"","msr_highlight_type":"","msr_date_display_format":"","msr_main_download_label":"","msr_external_link_label":"","msr_doi_label":"","msr_published_date":"2017-08-20","msr_startdate":"","msr_presentation_date":"","msr_highlight_text":"","msr_notes":"","msr_longbiography":"","msr_publicationurl":"http:\/\/www.causalproductions.com\/JOBS\/INTERSPEECH_2017\/WIKI.HTM","msr_external_url":"","msr_secondary_video_url":"","msr_conference_url":"","msr_journal_url":"","msr_year":2017,"msr_month":8,"msr_day":20,"msr_microsoftintellectualproperty":true,"msr_pub_id":"","msr_publication_uploader":[{"type":"file","title":"seq2seq_userSim_2017June5","label_id":243132,"id":425439,"viewUrl":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/wp-content\/uploads\/2017\/09\/seq2seq_userSim_2017June5.pdf"},{"type":"url","title":"http:\/\/www.causalproductions.com\/JOBS\/INTERSPEECH_2017\/WIKI.HTM","label_id":0,"id":false,"viewUrl":false}],"msr_related_uploader":[],"msr_original_fields_of_study":[],"msr_s2_paper_id":"","msr_s2_pdf_url":"","msr_citation_count_updated":"","msr_citation_count":0,"msr_influential_citations":0,"msr_reference_count":0,"msr_s2_open_access":false,"msr_s2_author_ids":[],"msr_pub_ids":[],"msr_hide_image_in_river":0,"footnotes":""},"msr-research-highlight":[],"research-area":[13545,13554],"msr-publication-type":[193716],"msr-publisher":[],"msr-publication-cta":[],"msr-focus-area":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-425436","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-human-language-technologies","msr-research-area-human-computer-interaction","msr-locale-en_us"],"msr_publishername":"ISCA - 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