{
  "id": 115359,
  "title": "Useful Lectures/Materials/Videos",
  "url": "/competitions/tensorflow2-question-answering/discussion/115359",
  "author_name": "",
  "post_date": "2019-11-02T08:36:46.564908300Z",
  "votes": 3,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Better understanding Question &amp; Answering from <strong>Stanford NLP &amp; Deep learning Course</strong>\n- watch video from 6:06min ( 1 hour 21 min long )\n<a href=\"https://www.youtube.com/watch?v=yIdF-17HwSk\">https://www.youtube.com/watch?v=yIdF-17HwSk</a></p>\n\n<p>Things covered in this lecture\n* Problem\n* History\n* Dataset\n* Stanford Attentive Reader model\n* BIDAF\n* BERT\n* ELMO </p>\n\n<p>NLP today is the Attention concept - paper: <a href=\"https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf\">https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf</a> by <a href=\"/pednt9\">@pednt9</a> </p>\n\n<p>Share your favourite lectures about Question &amp; Answering.</p>",
  "messages": [
    {
      "id": "663532",
      "postDate": "11/02/2019 08:36:46",
      "content": "<p>Better understanding Question &amp; Answering from <strong>Stanford NLP &amp; Deep learning Course</strong>\n- watch video from 6:06min ( 1 hour 21 min long )\n<a href=\"https://www.youtube.com/watch?v=yIdF-17HwSk\">https://www.youtube.com/watch?v=yIdF-17HwSk</a></p>\n\n<p>Things covered in this lecture\n* Problem\n* History\n* Dataset\n* Stanford Attentive Reader model\n* BIDAF\n* BERT\n* ELMO </p>\n\n<p>NLP today is the Attention concept - paper: <a href=\"https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf\">https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf</a> by <a href=\"/pednt9\">@pednt9</a> </p>\n\n<p>Share your favourite lectures about Question &amp; Answering.</p>",
      "rawMarkdown": "Better understanding Question &amp; Answering from **Stanford NLP &amp; Deep learning Course**\n- watch video from 6:06min ( 1 hour 21 min long )\nhttps://www.youtube.com/watch?v=yIdF-17HwSk\n\nThings covered in this lecture\n* Problem\n* History\n* Dataset\n* Stanford Attentive Reader model\n* BIDAF\n* BERT\n* ELMO \n\nNLP today is the Attention concept - paper: https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf by @pednt9 \n\nShare your favourite lectures about Question &amp; Answering.",
      "votes": null
    },
    {
      "id": "664902",
      "postDate": "11/04/2019 11:24:14",
      "content": "<p>The starting point in NLP today is the Attention concept. To understand it, there's nothing better than reading the paper: <a href=\"https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf\">https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf</a></p>",
      "rawMarkdown": "The starting point in NLP today is the Attention concept. To understand it, there's nothing better than reading the paper: https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf",
      "votes": null
    },
    {
      "id": "665021",
      "postDate": "11/04/2019 14:41:28",
      "content": "<p>Thanks and updated </p>",
      "rawMarkdown": "Thanks and updated",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 664902,
      "author_name": "pednt9",
      "author_url": "",
      "post_date": "11/04/2019 11:24:14",
      "content": "<p>The starting point in NLP today is the Attention concept. To understand it, there's nothing better than reading the paper: <a href=\"https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf\">https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 665021,
          "author_name": "seshurajup",
          "author_url": "",
          "post_date": "11/04/2019 14:41:28",
          "content": "<p>Thanks and updated </p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "663532": "Better understanding Question &amp; Answering from **Stanford NLP &amp; Deep learning Course**\n- watch video from 6:06min ( 1 hour 21 min long )\nhttps://www.youtube.com/watch?v=yIdF-17HwSk\n\nThings covered in this lecture\n* Problem\n* History\n* Dataset\n* Stanford Attentive Reader model\n* BIDAF\n* BERT\n* ELMO \n\nNLP today is the Attention concept - paper: https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf by @pednt9 \n\nShare your favourite lectures about Question &amp; Answering.",
    "664902": "The starting point in NLP today is the Attention concept. To understand it, there's nothing better than reading the paper: https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf",
    "665021": "Thanks and updated"
  },
  "source": "meta"
}