{"id":165260,"date":"2011-01-01T00:00:00","date_gmt":"2011-01-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/humanhuman-conversation-understanding\/"},"modified":"2018-10-16T21:53:46","modified_gmt":"2018-10-17T04:53:46","slug":"humanhuman-conversation-understanding","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/humanhuman-conversation-understanding\/","title":{"rendered":"Human\/Human Conversation Understanding"},"content":{"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 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,"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-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 - 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