{
  "id": 229441,
  "title": "Do you know something about context-based text generation?",
  "url": "/competitions/coleridgeinitiative-show-us-the-data/discussion/229441",
  "author_name": "",
  "post_date": "2021-03-30T07:45:37.917018600Z",
  "votes": 3,
  "comment_count": 1,
  "views": 0,
  "content": "<p>I mean text generation using keywords like inputs and the text like an output.</p>",
  "messages": [
    {
      "id": "1256747",
      "postDate": "03/30/2021 07:45:37",
      "content": "<p>I mean text generation using keywords like inputs and the text like an output.</p>",
      "rawMarkdown": "I mean text generation using keywords like inputs and the text like an output.",
      "votes": null
    },
    {
      "id": "1259754",
      "postDate": "04/01/2021 16:29:28",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/anaidashaginian\" target=\"_blank\">@anaidashaginian</a>. This article is a good place to begin with: <a href=\"https://arxiv.org/pdf/2005.00048.pdf\" target=\"_blank\">Context based Text-generation using LSTM networks</a>. You can also see <a href=\"https://github.com/lordtt13/Context-Based-Text-Generator\" target=\"_blank\">this GitHub repository</a> where Seq2Seq Model in Keras is used to predict text from a document preserving context and long term dependencies. Hope this helps. </p>",
      "rawMarkdown": "Hi @anaidashaginian. This article is a good place to begin with: [Context based Text-generation using LSTM networks](https://arxiv.org/pdf/2005.00048.pdf). You can also see [this GitHub repository](https://github.com/lordtt13/Context-Based-Text-Generator) where Seq2Seq Model in Keras is used to predict text from a document preserving context and long term dependencies. Hope this helps.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1259754,
      "author_name": "rezameri",
      "author_url": "",
      "post_date": "04/01/2021 16:29:28",
      "content": "<p>Hi <a href=\"https://www.kaggle.com/anaidashaginian\" target=\"_blank\">@anaidashaginian</a>. This article is a good place to begin with: <a href=\"https://arxiv.org/pdf/2005.00048.pdf\" target=\"_blank\">Context based Text-generation using LSTM networks</a>. You can also see <a href=\"https://github.com/lordtt13/Context-Based-Text-Generator\" target=\"_blank\">this GitHub repository</a> where Seq2Seq Model in Keras is used to predict text from a document preserving context and long term dependencies. Hope this helps. </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "1256747": "I mean text generation using keywords like inputs and the text like an output.",
    "1259754": "Hi @anaidashaginian. This article is a good place to begin with: [Context based Text-generation using LSTM networks](https://arxiv.org/pdf/2005.00048.pdf). You can also see [this GitHub repository](https://github.com/lordtt13/Context-Based-Text-Generator) where Seq2Seq Model in Keras is used to predict text from a document preserving context and long term dependencies. Hope this helps."
  },
  "source": "meta"
}