{"id":148232,"date":"2003-01-01T00:00:00","date_gmt":"2003-01-01T00:00:00","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/msr-research-item\/combining-low-level-and-summary-representations-of-opinions-for-multi-perspective-question-answering\/"},"modified":"2018-10-16T20:47:41","modified_gmt":"2018-10-17T03:47:41","slug":"combining-low-level-and-summary-representations-of-opinions-for-multi-perspective-question-answering","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/combining-low-level-and-summary-representations-of-opinions-for-multi-perspective-question-answering\/","title":{"rendered":"Combining Low-Level and Summary Representations of Opinions for Multi-Perspective Question Answering"},"content":{"rendered":"
\n

While much recent progress has been made in research on fact-based question answering, our work aims to extend question-answering research in a different direction to handle multi-perspective question-answering tasks, i.e. question-answering tasks that require an ability to find and organize opinions in text. In particular, this paper proposes an approach to multi-perspective question answering that views the task as one of opinion-oriented information extraction. We first describe an annotation scheme developed for the low-level representation of opinions, and note the results of interannotator agreement studies using the opinion-based annotation framework. Next, we propose the use of opinion-oriented “scenario templates” to act as a summary representation of the opinions expressed in a document, a set of documents, or an arbitrary text segment. Finally, we outline an approach for the automatic construction of opinion-based summary representations and describe how they might be used to support a variety of multi-perspective question answering tasks.<\/p>\n<\/div>\n

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While much recent progress has been made in research on fact-based question answering, our work aims to extend question-answering research in a different direction to handle multi-perspective question-answering tasks, i.e. question-answering tasks that require an ability to find and organize opinions in text. In particular, this paper proposes an approach to multi-perspective question answering that […]<\/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":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"Proceedings of the AAAI Spring Symposium on New Directions in Question Answering","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"20\u201327","msr_page_range_start":"20","msr_page_range_end":"27","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"Proceedings of the AAAI Spring Symposium on New Directions in Question 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