{"id":1944,"date":"2024-08-22T15:35:57","date_gmt":"2024-08-22T06:35:57","guid":{"rendered":"https:\/\/www.waseda.jp\/inst\/gcs\/?p=1944"},"modified":"2025-12-18T10:30:26","modified_gmt":"2025-12-18T01:30:26","slug":"interop-tokyo2018%e3%82%a2%e3%82%ab%e3%83%87%e3%83%9f%e3%83%83%e3%82%af%e3%82%a4%e3%83%8e%e3%83%99%e3%83%bc%e3%82%b7%e3%83%a7%e3%83%b3%e3%81%8c%e9%96%8b%e5%82%ac%e3%81%95%e3%82%8c%e3%81%be%e3%81%97-34","status":"publish","type":"post","link":"https:\/\/www.waseda.jp\/inst\/gcs\/news\/2024\/08\/22\/1944\/","title":{"rendered":"\u300cTransformer \u306b\u57fa\u3065\u304f\u97f3\u58f0\u30fb\u8a00\u8a9e\u51e6\u7406\u306e\u5c55\u958b\u300d\u30bb\u30df\u30ca\u30fc\u958b\u50ac\u306e\u304a\u77e5\u3089\u305b"},"content":{"rendered":"<h3>Transformer \u306b\u57fa\u3065\u304f\u97f3\u58f0\u30fb\u8a00\u8a9e\u51e6\u7406\u306e\u5c55\u958b<\/h3>\n<p>Transformer\u306e\u63d0\u6848\u4ee5\u6765\uff0c\u97f3\u58f0\u60c5\u5831\u51e6\u7406\uff0c\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u6280\u8853\u306f\u6bce\u5e74\u98db\u8e8d\u7684\u306a\u767a\u5c55\u3092\u91cd\u306d\u3066\u3044\u307e\u3059\uff0e\u30c4\u30fc\u30eb\u304c\u6574\u5099\u3055\u308c\uff0c\u8ab0\u3082\u304c\u7c21\u5358\u306b\u5fdc\u7528\u30b7\u30b9\u30c6\u30e0\u3092\u4f5c\u308b\u3053\u3068\u304c\u53ef\u80fd\u306b\u306a\u308a\u307e\u3057\u305f\uff0e\u3057\u304b\u3057\uff0c\u305d\u306e\u4e00\u65b9\u3067\uff0c\u57fa\u672c\u6280\u8853\u306f\u30d6\u30e9\u30c3\u30af\u30dc\u30c3\u30af\u30b9\u5316\u3057\uff0c\u6280\u8853\u8005\u306f\uff0c\u8868\u5c64\u7684\u306a\u7406\u89e3\u306e\u307e\u307e\u30c4\u30fc\u30eb\u3092\u5229\u7528\u3059\u308b\u50be\u5411\u3082\u3042\u308b\u306e\u3067\u306f\u306a\u3044\u3067\u3057\u3087\u3046\u304b\uff0e<br \/>\n\u30c4\u30fc\u30eb\u306b\u306f\u4f55\u304c\u671f\u5f85\u3067\u304d\u3066\uff0c\u4f55\u306f\u671f\u5f85\u3067\u304d\u306a\u3044\u306e\u304b\uff0e\u305d\u3046\u3057\u305f\u808c\u611f\u899a\u3092\u6301\u3064\u3053\u3068\u306f\uff0c\u6280\u8853\u8005\u306b\u3068\u3063\u3066\u306e\u91cd\u8981\u4e8b\u9805\u3067\u3059\u304c\uff0c\u305d\u306e\u305f\u3081\u306b\u306f\uff0c\u57fa\u672c\u6280\u8853\u306b\u5bfe\u3059\u308b\u6df1\u3044\u7406\u89e3\u304c\u4e0d\u53ef\u6b20\u3067\u3059\uff0e\u672c\u30bb\u30df\u30ca\u30fc\u3067\u306f\uff0c\u97f3\u58f0\u60c5\u5831\u51e6\u7406\uff0c\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306b\u95a2\u308f\u308b\u6bd4\u8f03\u7684\u7d4c\u9a13\u306e\u6d45\u3044\u7814\u7a76\u8005\uff0c\u6280\u8853\u8005\uff0c\u5b66\u751f\u3092\u5bfe\u8c61\u3068\u3057\u3066\uff0cTransformer\u30d9\u30fc\u30b9\u306e\u97f3\u58f0\u8a8d\u8b58\u6280\u8853\uff0c\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u6280\u8853\u306e\u57fa\u672c\u6280\u8853\u306e\u8003\u3048\u65b9\u3084\u539f\u7406\u306e\u7cfb\u7d71\u7684\u306a\u89e3\u8aac\u3092\u884c\u3044\uff0c\u95a2\u9023\u6280\u8853\u958b\u767a\u306b\u304a\u3044\u3066\u5fc5\u8981\u3068\u306a\u308b\u57fa\u672c\u77e5\u8b58\u3092\u4fee\u5f97\u3059\u308b\u3053\u3068\u3092\u76ee\u6307\u3057\u307e\u3059\uff0e<br \/>\n\u521d\u65e5\u306f\uff0c\u307e\u305a\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306b\u4fc2\u308b\u57fa\u790e\u4e8b\u9805\u304b\u3089\u59cb\u3081\u3066Transformer\u306e\u69cb\u6210\u307e\u3067\u3092\u78ba\u8a8d\u3057\u307e\u3059\uff0e\u3064\u3044\u3067\uff0cTransformer\u30d9\u30fc\u30b9\u306eEnd2End\u97f3\u58f0\u8a8d\u8b58\u306e\u57fa\u672c\u69cb\u6210\u3092\u89e3\u8aac\u3057\u305f\u5f8c\uff0c\u3053\u308c\u3089\u306b\u5916\u90e8\u8a00\u8a9e\u30e2\u30c7\u30eb\u3092\u7d44\u307f\u8fbc\u3080\u6700\u65b0\u306e\u7814\u7a76\u3092\u7d39\u4ecb\u3057\u307e\u3059\uff0eEnd2End\u97f3\u58f0\u8a8d\u8b58\u306e\u5229\u70b9\u306f\uff0c\u5f93\u6765\u6cd5\u306e\u6b20\u70b9\u3067\u3042\u3063\u305f\u8a00\u8a9e\u30e2\u30c7\u30eb\u3068\u97f3\u97ff\u30e2\u30c7\u30eb\u306e\u5834\u5f53\u305f\u308a\u7684\u306a\u7d71\u5408\u306e\u554f\u984c\u3092\u56de\u907f\u3057\u305f\u3053\u3068\u306b\u3042\u308a\u307e\u3059\u304c\uff0c\u305d\u306e\u4e00\u65b9\u3067\uff0c\u8c4a\u5bcc\u306a\u8a00\u8a9e\u8cc7\u6e90\u304b\u3089\u5f97\u3089\u308c\u308b\u8a00\u8a9e\u7d71\u8a08\u306e\u6069\u6075\u3092\u53d7\u3051\u308b\u3053\u3068\u304c\u56f0\u96e3\u306b\u306a\u3063\u3066\u3044\u307e\u3059\uff0e\u3053\u3053\u3067\u306f\uff0cEnd2End\u5b66\u7fd2\u306b\u3088\u3063\u3066\u76ee\u7684\u30bf\u30b9\u30af\u306b\u5bfe\u3057\u5168\u4f53\u6700\u9069\u5316\u3059\u308b\u67a0\u7d44\u307f\u3092\u7dad\u6301\u3057\u305f\u307e\u307e\uff0c\u4e8b\u524d\u5b66\u7fd2\u3057\u3066\u5f97\u305f\u5916\u90e8\u8a00\u8a9e\u30e2\u30c7\u30eb\u306e\u6301\u3064\u8a00\u8a9e\u7d71\u8a08\u3092\u6d3b\u7528\u3057\u4fe1\u983c\u6027\u3092\u5411\u4e0a\u3055\u305b\u308b\u3044\u304f\u3064\u304b\u306e\u65b9\u6cd5\u306b\u3064\u3044\u3066\u8b1b\u7fa9\u3057\u307e\u3059\uff0e<br \/>\n\uff12\u65e5\u76ee\u306f\uff0c\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb (LLM; Large Language Models) \u306e\u57fa\u672c\u3068\u306a\u308b\u30c7\u30b3\u30fc\u30c0\u306b\u57fa\u3065\u304f\u8a00\u8a9e\u30e2\u30c7\u30eb\u306b\u3064\u3044\u3066\u89e3\u8aac\u3057\u305f\u5f8c\uff0c\u305d\u306e\u80fd\u529b\u304c\u3069\u306e\u3088\u3046\u306a\u4ed5\u7d44\u307f\u306b\u3088\u3063\u3066\u5b9f\u73fe\u3055\u308c\u308b\u304b\u3092\u8b70\u8ad6\u3057\u307e\u3059\uff0eLLM\u306f\uff0c\u81ea\u7136\u8a00\u8a9e\u306b\u3088\u308b\u30d7\u30ed\u30f3\u30d7\u30c6\u30a3\u30f3\u30b0\u3068\u3044\u3046\u5358\u7d14\u306a\u65b9\u6cd5\u306b\u3088\u3063\u3066\uff0c\u307b\u3093\u306e\u50c5\u304b\u306a\u4f8b\u793a\u30c7\u30fc\u30bf\u3092\u7528\u3044\u3066 (Few-shot\u5b66\u7fd2)\uff0c\u3042\u308b\u3044\u306f\u5168\u304f\u4f8b\u793a\u30c7\u30fc\u30bf\u3092\u7528\u3044\u308b\u3053\u3068\u306a\u304f (Zero-shot prompting) \u6240\u671b\u306e\u7279\u5316\u3057\u305f\u30bf\u30b9\u30af\u3092\u9054\u6210\u3057\u307e\u3059\uff0e\u3053\u3046\u3057\u305f\u80fd\u529b\u306e\u80cc\u666f\u3068\u306a\u3063\u3066\u3044\u308b\u6280\u6cd5\u3084\u6280\u8853\u8981\u7d20\u306b\u3064\u3044\u3066\uff0c\u69d8\u3005\u306a\u6a5f\u95a2\u3067\u306e\u7814\u7a76\u3092\u7d39\u4ecb\u3057\u306a\u304c\u3089\u89e3\u8aac\u3057\u307e\u3059\uff0e\u307e\u305f\uff0cLLM\u306e\u51fa\u73fe\u30fb\u767a\u5c55\u306f\uff0c\u81ea\u7136\u8a00\u8a9e\u51e6\u7406 NLP (Natural Language Processing) \u306b\u3068\u3069\u307e\u307e\u3089\u305a\uff0c\u5e83\u304fAI\u30b7\u30b9\u30c6\u30e0\u30fb\u30b5\u30fc\u30d3\u30b9\u306e\u7814\u7a76\u958b\u767a\u306b\u5927\u304d\u306a\u5f71\u97ff\u3092\u3082\u305f\u3089\u3057\u3066\u3044\u307e\u3059\uff0e\u3053\u3046\u3057\u305f\uff0c\u5fdc\u7528\u89b3\u70b9\u3067\u306e\u91cd\u8981\u306a\u6280\u8853\u306e\u767a\u5c55\u306b\u3064\u3044\u3066\u3082\u3068\u308a\u3042\u3052\u308b\u4e88\u5b9a\u3067\u3059\uff0e<\/p>\n<h4>\u6982\u8981<\/h4>\n<ul style=\"list-style-type: disc;\">\n<li>\u958b\u50ac\u671f\u9593\uff1a\u30009\u670828\u65e5\uff08\u571f\uff09\u30019\u670829\u65e5\uff08\u65e5\uff09<\/li>\n<li>\u6642\u3000\u3000\u9593\uff1a\u300010:00 ~ 16:30<\/li>\n<li>\u8b1b\u3000\u3000\u5e2b\uff1a\u3000<a href=\"https:\/\/w-rdb.waseda.jp\/html\/100000313_ja.html\" target=\"_blank\" rel=\"noopener\">\u5c0f\u6797\u54f2\u5247<\/a>\u30fb<a href=\"https:\/\/researchmap.jp\/7000010147\/\" target=\"_blank\" rel=\"noopener\">\u6797 \u826f\u5f66<\/a><\/li>\n<li>\u5834\u3000\u3000\u6240\uff1a\u3000\u65e9\u7a32\u7530\u5927\u5b66 \u30b0\u30ea\u30fc\u30f3\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u30b7\u30b9\u30c6\u30e0\u7814\u7a76\u958b\u767a\u30bb\u30f3\u30bf\u30fc1F \u30d7\u30ec\u30bc\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3\u30eb\u30fc\u30e0<\/li>\n<li>\u5bfe\u3000\u3000\u8c61\uff1a\u3000\u97f3\u58f0\u60c5\u5831\u51e6\u7406\uff0c\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306b\u643a\u308f\u308b\u6bd4\u8f03\u7684\u7d4c\u9a13\u306e\u6d45\u3044\u7814\u7a76\u8005\uff0c\u6280\u8853\u8005\uff0c\u5b66\u751f<\/li>\n<li>\u5b9a\u3000\u3000\u54e1\uff1a\u300050\u540d<\/li>\n<li>\u53c2\u52a0\u8cbb\u3000\uff1a\u3000\u7121\u6599<\/li>\n<\/ul>\n<h4>\u30d7\u30ed\u30b0\u30e9\u30e0<\/h4>\n<p>\uff08\u8b1b\u7fa9\u5185\u5bb9\u306f\u4e00\u90e8\u5909\u66f4\u306b\u306a\u308b\u53ef\u80fd\u6027\u304c\u3054\u3056\u3044\u307e\u3059\uff09<br \/>\n<strong>1\u65e5\u76ee\uff1a Transformer \u306b\u57fa\u3065\u304f\u97f3\u58f0\u8a8d\u8b58\u306e\u5c55\u958b<\/strong><br \/>\n1. \u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u306e\u57fa\u790e<br \/>\n&#8211; \u95a2\u6570\u8fd1\u4f3c\u304b\u3089\u30e1\u30e2\u30ea\u30a2\u30af\u30bb\u30b9\u307e\u3067 (MLP, ResNet, RNN, Attention)<br \/>\n&#8211; Transformer \u306e\u57fa\u672c\u69cb\u9020<br \/>\n&#8211; \u30c1\u30e7\u30e0\u30b9\u30ad\u30fc\u968e\u5c64\u3068\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u30a2\u30fc\u30ad\u30c6\u30af\u30c1\u30e3<br \/>\n2. End2End \u97f3\u58f0\u8a8d\u8b58\u306e\u57fa\u672c\u69cb\u6210<br \/>\n&#8211; \u30d5\u30ec\u30fc\u30e0\u72ec\u7acb-Encoder\u578b\u30e2\u30c7\u30eb (CTC)<br \/>\n&#8211; RNN-guided-Encoder\u578b\u30e2\u30c7\u30eb (Transducer)<br \/>\n&#8211; Encoder-Decoder\u578b\u30e2\u30c7\u30eb (Whisper)<br \/>\n&#8211; \u30b9\u30c8\u30ea\u30fc\u30df\u30f3\u30b0\u97f3\u58f0\u8a8d\u8b58<br \/>\n3. \u5185\u90e8\u8a00\u8a9e\u30e2\u30c7\u30eb\u3068\u5916\u90e8\u8a00\u8a9e\u30e2\u30c7\u30eb<br \/>\n&#8211; Shallow Fusion, BERT-CTC, LLM\u306e\u5fdc\u7528<br \/>\n4. \u97f3\u58f0\u306e\u8868\u73fe\u5b66\u7fd2<br \/>\n&#8211; Wav2Vec2, HuBERT<\/p>\n<p><strong>2\u65e5\u76ee\uff1a Transformer\u306b\u57fa\u3065\u304fLLM\u306e\u5c55\u958b<\/strong><br \/>\n1. LLM\u306e\u57fa\u672c\u6280\u8853<br \/>\n&#8211; Transformer \u306b\u57fa\u3065\u304f\u8a00\u8a9e\u30e2\u30c7\u30eb<br \/>\n&#8211; \u30c7\u30b3\u30fc\u30c0\u306b\u57fa\u3065\u304f\u8a00\u8a9e\u30e2\u30c7\u30eb<br \/>\n&#8211; \u30d7\u30ed\u30f3\u30d7\u30c6\u30a3\u30f3\u30b0\u6280\u6cd5<br \/>\n&#8211; \u4ee3\u8868\u7684\u306a\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u30bf\u30b9\u30af\u3068\u8a55\u4fa1\u6307\u6a19<br \/>\n2. LLM\u306e\u9ad8\u5ea6\u5316\u3092\u652f\u3048\u308b\u6280\u8853\u8981\u7d20<br \/>\n&#8211; \u547d\u4ee4\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0\u3068\u30bc\u30ed\u30b7\u30e7\u30c3\u30c8\u5b66\u7fd2<br \/>\n&#8211; \u6587\u8108\u5185\u5b66\u7fd2\u3068\u5c11\u6570\u30b7\u30e7\u30c3\u30c8\u5b66\u7fd2<br \/>\n3. \u4eba\u9593\u306e\u9078\u597d\u306b\u5408\u308f\u305b\u308bLLM\u306e\u30d5\u30a1\u30a4\u30f3\u30c1\u30e5\u30fc\u30cb\u30f3\u30b0<br \/>\n&#8211; \u4eba\u9593\u306b\u3088\u308b\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u306b\u57fa\u3065\u304f\u5f37\u5316\u5b66\u7fd2 RLHF (Reinforcement learning from Human Feedback)<br \/>\n&#8211; RLHF\u304b\u3089\u306e\u767a\u5c55: DPO (Direct Preference Optimization), KTO (Kahneman-Tversky Optimization) \u306a\u3069<br \/>\n4. \u5b9f\u7528\u6027\u306e\u9ad8\u3044LLM\u3078\u5411\u3051\u305f\u5c55\u958b<br \/>\n&#8211; \u691c\u7d22\u306b\u3088\u308a\u5f37\u5316\u3055\u308c\u305f\u751f\u6210 RAG (Retrieval Augmented Generation)<br \/>\n&#8211; LLM\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u306e\u305f\u3081\u306e\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af: DSPy \u306a\u3069<br \/>\n&#8211; LLM \u306e\u8a55\u4fa1\uff0c\u53ca\u3073\uff0cLLM\u306b\u3088\u308b\u8a55\u4fa1<\/p>\n<h4>\u8b1b\u5e2b\u7d39\u4ecb<\/h4>\n<p><strong>\u5c0f\u6797\u54f2\u5247<\/strong><br \/>\n\u65e9\u7a32\u7530\u5927\u5b66\u30fb\u7406\u5de5\u5b66\u8853\u9662\u6559\u6388\uff0eATR\u97f3\u58f0\u8a00\u8a9e\u901a\u4fe1\u7814\u7a76\u6240\uff0cNHK\u6280\u8853\u7814\u7a76\u6240\uff0cMIT LCS\u306a\u3069\u306e\u5ba2\u54e1\u7814\u7a76\u54e1\u306a\u3069\u3092\u6b74\u4efb. \u4f1a\u8a71\u306e\u30ea\u30ba\u30e0\u5f62\u6210\u306b\u4e3b\u773c\u3092\u304a\u3044\u305f\u97f3\u58f0\u8a8d\u8b58\uff0c\u4f1a\u8a71\u30b7\u30b9\u30c6\u30e0\u30b7\u30ca\u30ea\u30aa\u81ea\u52d5\u4f5c\u6210\uff0c\u4f1a\u8a71\u30d7\u30ed\u30c8\u30b3\u30eb\u306a\u3069\u306e\u7814\u7a76\u306b\u5f93\u4e8b\uff0e\u5171\u7de8\u8457\uff1aParalinguistic Information and its Integration in Spoken Dialogue Systems \u4ed6\uff0e<\/p>\n<p><strong>\u6797 \u826f\u5f66<\/strong><br \/>\n\u65e9\u7a32\u7530\u5927\u5b66\u30fbGCS\u7814\u7a76\u6a5f\u69cb\u62db\u8058\u7814\u7a76\u54e1\uff0eNTT\u7814\u7a76\u6240\u4e3b\u5e79\u7814\u7a76\u54e1\uff0cStanford\u5927\u5b66CSLI\u6ede\u5728\u7814\u7a76\u54e1\uff0c\u5927\u962a\u5927\u5b66\u5927\u5b66\u9662\u8a00\u8a9e\u6587\u5316\u7814\u7a76\u79d1\u8a00\u8a9e\u60c5\u5831\u79d1\u5b66\u8b1b\u5ea7\u6559\u6388\uff0c\u65e9\u7a32\u7530\u5927\u5b66\u5927\u5b66\u9662\u57fa\u5e79\u7406\u5de5\u5b66\u7814\u7a76\u79d1\u6559\u6388\uff0c\u306a\u3069\u3092\u6b74\u4efb\uff0e\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\uff0c\u610f\u5473\u30b3\u30f3\u30d4\u30e5\u30fc\u30c6\u30a3\u30f3\u30b0\u306e\u7814\u7a76\u306b\u5f93\u4e8b\uff0e\u5206\u62c5\u57f7\u7b46\uff1a\u30aa\u30f3\u30c8\u30ed\u30b8\u30fc\u306e\u666e\u53ca\u3068\u5fdc\u7528\uff0cLanguage Service Ontology \u4ed6\uff0e\u5206\u62c5\u7ffb\u8a33\uff1a\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u306e\u305f\u3081\u306e\u6df1\u5c64\u5b66\u7fd2\uff0c\u7d71\u8a08\u7684\u8a00\u8a9e\u51e6\u7406\u306e\u57fa\u790e\uff0e<\/p>\n<h4>\u304a\u7533\u8fbc\u307f<\/h4>\n<p>\u4e0b\u8a18\u30d5\u30a9\u30fc\u30e0\u3088\u308a\u304a\u7533\u8fbc\u307f\u304f\u3060\u3055\u3044\u3002<\/p>\n<p><a href=\"https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSdPvJq9y0tLpYA7h48YS2na8naG_zl_tBKeyz46icIS6a_Y6g\/viewform\">https:\/\/docs.google.com\/forms\/d\/e\/1FAIpQLSdPvJq9y0tLpYA7h48YS2na8naG_zl_tBKeyz46icIS6a_Y6g\/viewform<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Transformer \u306b\u57fa\u3065\u304f\u97f3\u58f0\u30fb\u8a00\u8a9e\u51e6\u7406\u306e\u5c55\u958b Transformer\u306e\u63d0\u6848\u4ee5\u6765\uff0c\u97f3\u58f0\u60c5\u5831\u51e6\u7406\uff0c\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u6280\u8853\u306f\u6bce\u5e74\u98db\u8e8d\u7684\u306a\u767a\u5c55\u3092\u91cd\u306d\u3066\u3044\u307e\u3059\uff0e\u30c4\u30fc\u30eb\u304c\u6574\u5099\u3055\u308c\uff0c\u8ab0\u3082\u304c\u7c21\u5358\u306b\u5fdc\u7528\u30b7\u30b9\u30c6\u30e0\u3092\u4f5c\u308b\u3053\u3068\u304c\u53ef\u80fd\u306b\u306a\u308a\u307e\u3057 [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":1970,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[28],"class_list":["post-1944","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-research"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.waseda.jp\/inst\/gcs\/wp-json\/wp\/v2\/posts\/1944","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.waseda.jp\/inst\/gcs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.waseda.jp\/inst\/gcs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/gcs\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/gcs\/wp-json\/wp\/v2\/comments?post=1944"}],"version-history":[{"count":1,"href":"https:\/\/www.waseda.jp\/inst\/gcs\/wp-json\/wp\/v2\/posts\/1944\/revisions"}],"predecessor-version":[{"id":2467,"href":"https:\/\/www.waseda.jp\/inst\/gcs\/wp-json\/wp\/v2\/posts\/1944\/revisions\/2467"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/gcs\/wp-json\/wp\/v2\/media\/1970"}],"wp:attachment":[{"href":"https:\/\/www.waseda.jp\/inst\/gcs\/wp-json\/wp\/v2\/media?parent=1944"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/gcs\/wp-json\/wp\/v2\/categories?post=1944"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.waseda.jp\/inst\/gcs\/wp-json\/wp\/v2\/tags?post=1944"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}