{"width":"100%","type":"rich","height":"190","version":"1.0","provider_url":"https://hatena.blog","provider_name":"Hatena Blog","author_name":"nogawanogawa","html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fwww.nogawanogawa.com%2Fentry%2Frte\" title=\"BERT\u3092\u7528\u3044\u3066\u542b\u610f\u95a2\u4fc2\u8a8d\u8b58\u3092\u3084\u3063\u3066\u307f\u308b - Re:\u30bc\u30ed\u304b\u3089\u59cb\u3081\u308bML\u751f\u6d3b\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","title":"BERT\u3092\u7528\u3044\u3066\u542b\u610f\u95a2\u4fc2\u8a8d\u8b58\u3092\u3084\u3063\u3066\u307f\u308b","categories":["NLP","Python","PyTorch"],"url":"https://www.nogawanogawa.com/entry/rte","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/n/nogawanogawa/20200808/20200808170852.png","published":"2020-08-14 22:15:00","blog_title":"Re:\u30bc\u30ed\u304b\u3089\u59cb\u3081\u308bML\u751f\u6d3b","blog_url":"https://www.nogawanogawa.com/","author_url":"https://blog.hatena.ne.jp/nogawanogawa/","description":"\u3053\u306e\u524d\u306f\u3001BERT\u3092\u4f7f\u3063\u3066\u6587\u7ae0\u306e\u7a7a\u6b04\u3092\u57cb\u3081\u308b\u30bf\u30b9\u30af\u3092\u3084\u3063\u3066\u307f\u307e\u3057\u305f\u3002 \u4eca\u56de\u306fBERT\u306e\u52c9\u5f37\u304c\u3066\u3089\u542b\u610f\u95a2\u4fc2\u8a8d\u8b58(Recognizing Textual Entailment, RTE)\u3068\u3044\u3046\u30bf\u30b9\u30af\u3092\u3084\u3063\u3066\u307f\u305f\u3044\u3068\u601d\u3044\u307e\u3059\u3002 \u4eca\u56de\u975e\u5e38\u306b\u53c2\u8003\u306b\u3055\u305b\u3066\u3044\u305f\u3060\u3044\u305f\u306e\u306f\u3053\u3061\u3089\u306e\u8a18\u4e8b\u3067\u3059\u3002 hironsan.hatenablog.com \u4e0a\u306e\u8a18\u4e8b\u3068\u307b\u3068\u3093\u3069\u540c\u3058\u3053\u3068\u3092\u3084\u308b\u308f\u3051\u3067\u3059\u304c\u3001\u81ea\u5206\u306e\u52c9\u5f37\u306e\u305f\u3081\u3084\u3063\u3066\u3044\u304d\u307e\u3059\u3002"}