{
  "id": 114767,
  "title": "Starter papers for Open Domain Question Answering",
  "url": "/competitions/tensorflow2-question-answering/discussion/114767",
  "author_name": "Ram Ramrakhya",
  "post_date": "2019-10-29T04:42:54.553000",
  "votes": 8,
  "comment_count": 1,
  "views": 0,
  "content": "<p>Here is the list few good papers that I am referring to for this contest.</p>\n\n<ol>\n<li><p>Reading Wikipedia to Answer Open-Domain Questions <a href=\"https://arxiv.org/pdf/1704.00051v2.pdf\">arXiv</a> <a href=\"https://paperswithcode.com/paper/reading-wikipedia-to-answer-open-domain\">paperswithcode</a></p></li>\n<li><p>Bidirectional Attention Flow for Machine Comprehension\n<a href=\"https://arxiv.org/pdf/1611.01603v6.pdf\">arXiv</a> <a href=\"https://paperswithcode.com/paper/bidirectional-attention-flow-for-machine\">paperswithcode</a></p></li>\n<li><p>Deep Learning for Answer Sentence Selection <a href=\"https://arxiv.org/pdf/1412.1632v1.pdf\">arXiv</a> <a href=\"https://paperswithcode.com/paper/deep-learning-for-answer-sentence-selection\">paperswithcode</a></p></li>\n</ol>\n\n<p>Feel free to add new papers that would help us.</p>",
  "messages": [
    {
      "id": 660408,
      "postDate": "2019-10-29T04:42:54.553Z",
      "content": "<p>Here is the list few good papers that I am referring to for this contest.</p>\n\n<ol>\n<li><p>Reading Wikipedia to Answer Open-Domain Questions <a href=\"https://arxiv.org/pdf/1704.00051v2.pdf\">arXiv</a> <a href=\"https://paperswithcode.com/paper/reading-wikipedia-to-answer-open-domain\">paperswithcode</a></p></li>\n<li><p>Bidirectional Attention Flow for Machine Comprehension\n<a href=\"https://arxiv.org/pdf/1611.01603v6.pdf\">arXiv</a> <a href=\"https://paperswithcode.com/paper/bidirectional-attention-flow-for-machine\">paperswithcode</a></p></li>\n<li><p>Deep Learning for Answer Sentence Selection <a href=\"https://arxiv.org/pdf/1412.1632v1.pdf\">arXiv</a> <a href=\"https://paperswithcode.com/paper/deep-learning-for-answer-sentence-selection\">paperswithcode</a></p></li>\n</ol>\n\n<p>Feel free to add new papers that would help us.</p>",
      "rawMarkdown": "Here is the list few good papers that I am referring to for this contest.\n\n1. Reading Wikipedia to Answer Open-Domain Questions [arXiv](https://arxiv.org/pdf/1704.00051v2.pdf) [paperswithcode](https://paperswithcode.com/paper/reading-wikipedia-to-answer-open-domain)\n\n2. Bidirectional Attention Flow for Machine Comprehension\n [arXiv](https://arxiv.org/pdf/1611.01603v6.pdf) [paperswithcode](https://paperswithcode.com/paper/bidirectional-attention-flow-for-machine)\n\n3. Deep Learning for Answer Sentence Selection [arXiv](https://arxiv.org/pdf/1412.1632v1.pdf) [paperswithcode](https://paperswithcode.com/paper/deep-learning-for-answer-sentence-selection)\n\nFeel free to add new papers that would help us.",
      "votes": 8
    },
    {
      "id": 660432,
      "postDate": "2019-10-29T05:43:07.627Z",
      "rawMarkdown": "",
      "isDeleted": true
    }
  ],
  "comments": [
    {
      "id": 660432,
      "author_name": "",
      "author_url": "",
      "post_date": "2019-10-29T05:43:07.627000",
      "content": "",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "660408": "Here is the list few good papers that I am referring to for this contest.\n\n1. Reading Wikipedia to Answer Open-Domain Questions [arXiv](https://arxiv.org/pdf/1704.00051v2.pdf) [paperswithcode](https://paperswithcode.com/paper/reading-wikipedia-to-answer-open-domain)\n\n2. Bidirectional Attention Flow for Machine Comprehension\n [arXiv](https://arxiv.org/pdf/1611.01603v6.pdf) [paperswithcode](https://paperswithcode.com/paper/bidirectional-attention-flow-for-machine)\n\n3. Deep Learning for Answer Sentence Selection [arXiv](https://arxiv.org/pdf/1412.1632v1.pdf) [paperswithcode](https://paperswithcode.com/paper/deep-learning-for-answer-sentence-selection)\n\nFeel free to add new papers that would help us.",
    "660432": ""
  }
}