While the term spoken language understanding mostly refers to the understanding of spoken utterances directed at machines, as they are more constrained, recent progress in recognition and understanding the human\/human conversations and multi-party meetings is not negligible. While there is significant amount of previous work on discourse processing especially in social sciences (such as in the field of conversation analysis), processing human\/human conversations is a relatively newer area for spoken language processing. In this chapter we focus on two-party and multi-party human\/human conversation understanding approaches, mainly focusing on\u00a0 discourse modeling, speech act modeling, and argument diagramming. We also try to point the bridge studies using human\/human conversations for building better human\/machine conversational systems or using the approaches for human\/machine understanding for better human\/human understanding and vice versa.<\/p>\n","protected":false},"excerpt":{"rendered":"
While the term spoken language understanding mostly refers to the understanding of spoken utterances directed at machines, as they are more constrained, recent progress in recognition and understanding the human\/human conversations and multi-party meetings is not negligible. While there is significant amount of previous work on discourse processing especially in social sciences (such as in […]<\/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":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13545],"msr-publication-type":[193721],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-165260","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-human-language-technologies","msr-locale-en_us"],"msr_publishername":"Wiley","msr_edition":"Spoken Language Understanding - Systems for Extracting Semantic Information from Speech","msr_affiliation":"","msr_published_date":"2011-01-01","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"Spoken Language Understanding - Systems for Extracting Semantic Information from Speech","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"220846","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"file","title":"HH.pdf","viewUrl":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2011\/01\/HH.pdf","id":220846,"label_id":0}],"msr_related_uploader":"","msr_attachments":[{"id":220846,"url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2011\/01\/HH.pdf"}],"msr-author-ordering":[{"type":"user_nicename","value":"gokhant","user_id":31896,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=gokhant"},{"type":"user_nicename","value":"dilekha","user_id":31630,"rest_url":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=dilekha"}],"msr_impact_theme":[],"msr_research_lab":[],"msr_event":[],"msr_group":[],"msr_project":[171185],"publication":[],"video":[],"download":[],"msr_publication_type":"inbook","related_content":{"projects":[{"ID":171185,"post_title":"Meeting Recognition and Understanding","post_name":"meeting-recognition-and-understanding","post_type":"msr-project","post_date":"2013-07-30 14:28:35","post_modified":"2023-08-12 21:11:41","post_status":"publish","permalink":"https:\/\/www.microsoft.com\/en-us\/research\/project\/meeting-recognition-and-understanding\/","post_excerpt":"In most organizations, staff spend many hours in meetings. 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