{
  "id": 114719,
  "title": "Past NLP Competitions",
  "url": "/competitions/tensorflow2-question-answering/discussion/114719",
  "author_name": "",
  "post_date": "2019-10-28T22:05:53.958362600Z",
  "votes": 34,
  "comment_count": 4,
  "views": 0,
  "content": "<p>These are the top solutions from past NLP competitions; reading these will give you the idea about different architectures/tricks to do well in NLP competitions. </p>\n\n<h3><a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/overview\">Jigsaw Unintended Bias in Toxicity Classification</a></h3>\n\n<p>| Rank        | Description           | Code  |\n| ------------- |:-------------:| -----:|\n| 1      | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/103280#latest-619135\">1st place</a> | - |\n| 2      | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100661#latest-645839\">2nd place</a>      |   - |\n| 3 | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/97471#latest-645441\">3rd place</a>      |    - |\n| 4 | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100811#latest-628545\">4th place</a>      |    <a href=\"https://github.com/iezepov/combat-wombat-bias-in-toxicity\">github</a> |\n| 5 | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100718#latest-582601\">5th place</a>      |    - |\n| 6 | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/97487#latest-580517\">6th place</a>      |    - |\n| 7 | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100611#latest-584896\">7th place</a>      |    - |\n| 8 | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100961#latest-593873\">8th place</a>      |    - |\n| 9 | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100530#latest-621342\">9th place</a>      |    - |\n| 10 | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/101630#latest-588744\">10th place</a>      |    <a href=\"https://github.com/thuwyh/Jigsaw-Unintended-Bias-in-Toxicity-Classification\">github</a> |</p>\n\n<h3><a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification\">Quora Insincere Questions Classification</a></h3>\n\n<p>| Rank        | Description           | Code  |\n| ------------- |:-------------:| -----:|\n| 1      | <a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80568#latest-570793\">1st place</a> | - |\n| 2      | <a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/81137#latest-552221\">2nd place</a>      |   - |\n| 3 | <a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80495#latest-601758\">3rd place</a>      |    <a href=\"https://www.kaggle.com/wowfattie/3rd-place\">kernel</a> |\n| 4 | <a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/81632#latest-533550\">4th place</a>      |    <a href=\"https://github.com/k-fujikawa/Kaggle-Quora-Insincere-Questions-Classification\">github</a> |\n| 5 | -      |    <a href=\"https://www.kaggle.com/jiangm/5th-place-solution\">kernel</a> |\n| 7 | <a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80561\">7th place</a>      |    - |\n| 10 | <a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80718\">10th place</a>      |    <a href=\"https://www.kaggle.com/tks0123456789/pme-ema-6-x-8-epochs\">kernel</a> |\n| 13 | <a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80499#latest-473806\">13th place</a>      |    <a href=\"https://www.kaggle.com/canming/ensemble-mean-iii-64-36\">kernel</a> |</p>\n\n<p>These two were the most recent NLP competitions on Kaggle.  Other competitions also include\n1. <a href=\"https://www.kaggle.com/c/quora-question-pairs\">Quora Question Pairs</a>\n2. <a href=\"https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge\">Toxic Comment Classification Challenge</a></p>",
  "messages": [
    {
      "id": "660216",
      "postDate": "10/28/2019 22:05:53",
      "content": "<p>These are the top solutions from past NLP competitions; reading these will give you the idea about different architectures/tricks to do well in NLP competitions. </p>\n\n<h3><a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/overview\">Jigsaw Unintended Bias in Toxicity Classification</a></h3>\n\n<p>| Rank        | Description           | Code  |\n| ------------- |:-------------:| -----:|\n| 1      | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/103280#latest-619135\">1st place</a> | - |\n| 2      | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100661#latest-645839\">2nd place</a>      |   - |\n| 3 | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/97471#latest-645441\">3rd place</a>      |    - |\n| 4 | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100811#latest-628545\">4th place</a>      |    <a href=\"https://github.com/iezepov/combat-wombat-bias-in-toxicity\">github</a> |\n| 5 | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100718#latest-582601\">5th place</a>      |    - |\n| 6 | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/97487#latest-580517\">6th place</a>      |    - |\n| 7 | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100611#latest-584896\">7th place</a>      |    - |\n| 8 | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100961#latest-593873\">8th place</a>      |    - |\n| 9 | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100530#latest-621342\">9th place</a>      |    - |\n| 10 | <a href=\"https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/101630#latest-588744\">10th place</a>      |    <a href=\"https://github.com/thuwyh/Jigsaw-Unintended-Bias-in-Toxicity-Classification\">github</a> |</p>\n\n<h3><a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification\">Quora Insincere Questions Classification</a></h3>\n\n<p>| Rank        | Description           | Code  |\n| ------------- |:-------------:| -----:|\n| 1      | <a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80568#latest-570793\">1st place</a> | - |\n| 2      | <a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/81137#latest-552221\">2nd place</a>      |   - |\n| 3 | <a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80495#latest-601758\">3rd place</a>      |    <a href=\"https://www.kaggle.com/wowfattie/3rd-place\">kernel</a> |\n| 4 | <a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/81632#latest-533550\">4th place</a>      |    <a href=\"https://github.com/k-fujikawa/Kaggle-Quora-Insincere-Questions-Classification\">github</a> |\n| 5 | -      |    <a href=\"https://www.kaggle.com/jiangm/5th-place-solution\">kernel</a> |\n| 7 | <a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80561\">7th place</a>      |    - |\n| 10 | <a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80718\">10th place</a>      |    <a href=\"https://www.kaggle.com/tks0123456789/pme-ema-6-x-8-epochs\">kernel</a> |\n| 13 | <a href=\"https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80499#latest-473806\">13th place</a>      |    <a href=\"https://www.kaggle.com/canming/ensemble-mean-iii-64-36\">kernel</a> |</p>\n\n<p>These two were the most recent NLP competitions on Kaggle.  Other competitions also include\n1. <a href=\"https://www.kaggle.com/c/quora-question-pairs\">Quora Question Pairs</a>\n2. <a href=\"https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge\">Toxic Comment Classification Challenge</a></p>",
      "rawMarkdown": "These are the top solutions from past NLP competitions; reading these will give you the idea about different architectures/tricks to do well in NLP competitions. \n\n###[Jigsaw Unintended Bias in Toxicity Classification](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/overview)\n\n| Rank        | Description           | Code  |\n| ------------- |:-------------:| -----:|\n| 1      | [1st place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/103280#latest-619135) | - |\n| 2      | [2nd place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100661#latest-645839)      |   - |\n| 3 | [3rd place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/97471#latest-645441)      |    - |\n| 4 | [4th place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100811#latest-628545)      |    [github](https://github.com/iezepov/combat-wombat-bias-in-toxicity) |\n| 5 | [5th place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100718#latest-582601)      |    - |\n| 6 | [6th place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/97487#latest-580517)      |    - |\n| 7 | [7th place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100611#latest-584896)      |    - |\n| 8 | [8th place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100961#latest-593873)      |    - |\n| 9 | [9th place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100530#latest-621342)      |    - |\n| 10 | [10th place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/101630#latest-588744)      |    [github](https://github.com/thuwyh/Jigsaw-Unintended-Bias-in-Toxicity-Classification) |\n\n###[Quora Insincere Questions Classification](https://www.kaggle.com/c/quora-insincere-questions-classification)\n\n| Rank        | Description           | Code  |\n| ------------- |:-------------:| -----:|\n| 1      | [1st place](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80568#latest-570793) | - |\n| 2      | [2nd place](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/81137#latest-552221)      |   - |\n| 3 | [3rd place](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80495#latest-601758)      |    [kernel](https://www.kaggle.com/wowfattie/3rd-place) |\n| 4 | [4th place](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/81632#latest-533550)      |    [github](https://github.com/k-fujikawa/Kaggle-Quora-Insincere-Questions-Classification) |\n| 5 | -      |    [kernel](https://www.kaggle.com/jiangm/5th-place-solution) |\n| 7 | [7th place](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80561)      |    - |\n| 10 | [10th place](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80718)      |    [kernel](https://www.kaggle.com/tks0123456789/pme-ema-6-x-8-epochs) |\n| 13 | [13th place](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80499#latest-473806)      |    [kernel](https://www.kaggle.com/canming/ensemble-mean-iii-64-36) |\n\nThese two were the most recent NLP competitions on Kaggle.  Other competitions also include\n1. [Quora Question Pairs](https://www.kaggle.com/c/quora-question-pairs)\n2. [Toxic Comment Classification Challenge](https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge)",
      "votes": null
    },
    {
      "id": "660232",
      "postDate": "10/28/2019 23:03:46",
      "content": "<p>A full list is available at <a href=\"http://kagglesolutions.com/\">http://kagglesolutions.com/</a></p>",
      "rawMarkdown": "A full list is available at http://kagglesolutions.com/",
      "votes": null
    },
    {
      "id": "660247",
      "postDate": "10/28/2019 23:37:47",
      "content": "<p>Thanks for sharing</p>",
      "rawMarkdown": "Thanks for sharing",
      "votes": null
    },
    {
      "id": "660363",
      "postDate": "10/29/2019 03:22:15",
      "content": "<p>Great, it would be very helpful, thanks for sharing!</p>",
      "rawMarkdown": "Great, it would be very helpful, thanks for sharing!",
      "votes": null
    },
    {
      "id": "695043",
      "postDate": "12/14/2019 13:32:54",
      "content": "<p>thanks for sharing</p>",
      "rawMarkdown": "thanks for sharing",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 660232,
      "author_name": "mhviraf",
      "author_url": "",
      "post_date": "10/28/2019 23:03:46",
      "content": "<p>A full list is available at <a href=\"http://kagglesolutions.com/\">http://kagglesolutions.com/</a></p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 660247,
      "author_name": "hamditarek",
      "author_url": "",
      "post_date": "10/28/2019 23:37:47",
      "content": "<p>Thanks for sharing</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 660363,
      "author_name": "",
      "author_url": "",
      "post_date": "10/29/2019 03:22:15",
      "content": "<p>Great, it would be very helpful, thanks for sharing!</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 695043,
      "author_name": "jitendramalik",
      "author_url": "",
      "post_date": "12/14/2019 13:32:54",
      "content": "<p>thanks for sharing</p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "660216": "These are the top solutions from past NLP competitions; reading these will give you the idea about different architectures/tricks to do well in NLP competitions. \n\n###[Jigsaw Unintended Bias in Toxicity Classification](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/overview)\n\n| Rank        | Description           | Code  |\n| ------------- |:-------------:| -----:|\n| 1      | [1st place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/103280#latest-619135) | - |\n| 2      | [2nd place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100661#latest-645839)      |   - |\n| 3 | [3rd place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/97471#latest-645441)      |    - |\n| 4 | [4th place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100811#latest-628545)      |    [github](https://github.com/iezepov/combat-wombat-bias-in-toxicity) |\n| 5 | [5th place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100718#latest-582601)      |    - |\n| 6 | [6th place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/97487#latest-580517)      |    - |\n| 7 | [7th place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100611#latest-584896)      |    - |\n| 8 | [8th place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100961#latest-593873)      |    - |\n| 9 | [9th place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/100530#latest-621342)      |    - |\n| 10 | [10th place](https://www.kaggle.com/c/jigsaw-unintended-bias-in-toxicity-classification/discussion/101630#latest-588744)      |    [github](https://github.com/thuwyh/Jigsaw-Unintended-Bias-in-Toxicity-Classification) |\n\n###[Quora Insincere Questions Classification](https://www.kaggle.com/c/quora-insincere-questions-classification)\n\n| Rank        | Description           | Code  |\n| ------------- |:-------------:| -----:|\n| 1      | [1st place](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80568#latest-570793) | - |\n| 2      | [2nd place](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/81137#latest-552221)      |   - |\n| 3 | [3rd place](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80495#latest-601758)      |    [kernel](https://www.kaggle.com/wowfattie/3rd-place) |\n| 4 | [4th place](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/81632#latest-533550)      |    [github](https://github.com/k-fujikawa/Kaggle-Quora-Insincere-Questions-Classification) |\n| 5 | -      |    [kernel](https://www.kaggle.com/jiangm/5th-place-solution) |\n| 7 | [7th place](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80561)      |    - |\n| 10 | [10th place](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80718)      |    [kernel](https://www.kaggle.com/tks0123456789/pme-ema-6-x-8-epochs) |\n| 13 | [13th place](https://www.kaggle.com/c/quora-insincere-questions-classification/discussion/80499#latest-473806)      |    [kernel](https://www.kaggle.com/canming/ensemble-mean-iii-64-36) |\n\nThese two were the most recent NLP competitions on Kaggle.  Other competitions also include\n1. [Quora Question Pairs](https://www.kaggle.com/c/quora-question-pairs)\n2. [Toxic Comment Classification Challenge](https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge)",
    "660232": "A full list is available at http://kagglesolutions.com/",
    "660247": "Thanks for sharing",
    "660363": "Great, it would be very helpful, thanks for sharing!",
    "695043": "thanks for sharing"
  },
  "source": "meta"
}