{"id":4064,"date":"2023-11-22T05:29:00","date_gmt":"2023-11-21T20:29:00","guid":{"rendered":"https:\/\/devneko.jp\/wordpress\/?p=4064"},"modified":"2023-11-22T05:29:00","modified_gmt":"2023-11-21T20:29:00","slug":"semqa-semi-extractive-multi-source-question-answering","status":"publish","type":"post","link":"https:\/\/devneko.jp\/wordpress\/?p=4064","title":{"rendered":"SEMQA: Semi-Extractive Multi-Source Question Answering"},"content":{"rendered":"\n<ul class=\"wp-block-list\">\n<li><strong>SEMQA: Semi-Extractive Multi-Source Question Answering\u00a0<\/strong>[98.8]<br>\u672c\u7a3f\u3067\u306f,\u8907\u6570\u30bd\u30fc\u30b9\u3092\u534a\u62bd\u51fa\u7684\u306b\u8981\u7d04\u3059\u308b\u3053\u3068\u3067,\u8907\u6570\u306e\u8cea\u554f\u306b\u7b54\u3048\u308b\u65b0\u3057\u3044QA\u30bf\u30b9\u30af\u3092\u63d0\u6848\u3059\u308b\u3002 \u3053\u306e\u7a2e\u306e\u6700\u521d\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3067\u3042\u308bQuoteSum\u3092\u4f5c\u6210\u3057\u3001\u81ea\u7136\u304a\u3088\u3073\u751f\u6210\u3055\u308c\u305f\u8cea\u554f\u306b\u5bfe\u3059\u308b\u4eba\u9593\u306b\u3088\u308b\u534a\u62bd\u51fa\u7684\u306a\u56de\u7b54\u3092\u63d0\u793a\u3059\u308b\u3002<br><a href=\"http:\/\/arxiv.org\/abs\/2311.04886v1\">\u8ad6\u6587<\/a>\u00a0\u00a0<a href=\"https:\/\/fugumt.com\/fugumt\/paper_check\/2311.04886v1\">\u53c2\u8003\u8a33\uff08\u30e1\u30bf\u30c7\u30fc\u30bf\uff09<\/a>\u00a0 \u00a0(Wed, 8 Nov 2023 18:46:32 GMT)<\/li>\n\n\n\n<li>SEMQA\u3068\u3044\u3046\u65b0\u305f\u306a\u30bf\u30b9\u30af\u306e\u63d0\u6848\u3001\u300cSpecifically, given a question and a set of retrieved passages, the goal is to generate a summarized and well-grounded answer that interleaves verbatim extracted spans of factual statements with free-text connectors.\u300d\u3068\u306e\u3053\u3068\u3067Hallucination\u3092\u907f\u3051\u691c\u8a3c\u53ef\u80fd\u306aanswer\u3092\u5f97\u308b\u4e8b\u304c\u76ee\u7684\u306e\u3088\u3046<\/li>\n\n\n\n<li>\u30ea\u30dd\u30b8\u30c8\u30ea\u306f<a href=\"https:\/\/github.com\/google-research-datasets\/QuoteSum\">GitHub &#8211; google-research-datasets\/QuoteSum: QuoteSum is a textual QA dataset containing Semi-Extractive Multi-source Question Answering (SEMQA) examples written by humans, based on Wikipedia passages.<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[223,322],"class_list":["post-4064","post","type-post","status-publish","format-standard","hentry","category-arxiv","tag-llm","tag-question-answering"],"_links":{"self":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/4064","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4064"}],"version-history":[{"count":0,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=\/wp\/v2\/posts\/4064\/revisions"}],"wp:attachment":[{"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4064"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4064"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devneko.jp\/wordpress\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4064"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}