{
  "id": 140838,
  "title": "Some useful papers",
  "url": "/competitions/jigsaw-multilingual-toxic-comment-classification/discussion/140838",
  "author_name": "DanTe",
  "post_date": "2020-04-03T11:39:03.958000",
  "votes": 8,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Here are some useful papers that I found. Might help designing your approach.</p>\n\n<ol>\n<li><p>Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung,  Multilingual and Multi-Aspect Hate Speech Analysis,  <a href=\"https://arxiv.org/pdf/1908.11049.pdf\">https://arxiv.org/pdf/1908.11049.pdf</a></p></li>\n<li><p>Ahmed Elnaggar, Bernhard Waltl, Ingo Glaser, Jörg Landthaler, Elena Scepankova and Florian\nMatthes,  Stop Illegal Comments: A Multi-Task Deep Learning Approach,  <a href=\"https://dl.acm.org/doi/10.1145/3299819.3299845\">https://dl.acm.org/doi/10.1145/3299819.3299845</a></p></li>\n<li><p>Mike Zhang, Roy David, Leon Graumans, Gerben Timmerman,  Grunn2019 at SemEval-2019 Task 5: Shared Task on Multilingual Detection of Hate, <a href=\"https://www.aclweb.org/anthology/S19-2069.pdf\">https://www.aclweb.org/anthology/S19-2069.pdf</a></p></li>\n<li><p>Xiaolei Huang, Linzi Xing, Franck Dernoncourt, Michael J. Paul,  Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition, <a href=\"https://arxiv.org/pdf/2002.10361.pdf\">https://arxiv.org/pdf/2002.10361.pdf</a></p></li>\n<li><p>Ashwin Geet d’Sa, Irina Illina, Dominique Fohr,  BERT and fastText Embeddings for Automatic\nDetection of Toxic Speech,  <a href=\"https://hal.inria.fr/hal-02448197/document\">https://hal.inria.fr/hal-02448197/document</a></p></li>\n</ol>",
  "messages": [
    {
      "id": 796190,
      "postDate": "2020-04-03T11:39:03.960Z",
      "content": "<p>Here are some useful papers that I found. Might help designing your approach.</p>\n\n<ol>\n<li><p>Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung,  Multilingual and Multi-Aspect Hate Speech Analysis,  <a href=\"https://arxiv.org/pdf/1908.11049.pdf\">https://arxiv.org/pdf/1908.11049.pdf</a></p></li>\n<li><p>Ahmed Elnaggar, Bernhard Waltl, Ingo Glaser, Jörg Landthaler, Elena Scepankova and Florian\nMatthes,  Stop Illegal Comments: A Multi-Task Deep Learning Approach,  <a href=\"https://dl.acm.org/doi/10.1145/3299819.3299845\">https://dl.acm.org/doi/10.1145/3299819.3299845</a></p></li>\n<li><p>Mike Zhang, Roy David, Leon Graumans, Gerben Timmerman,  Grunn2019 at SemEval-2019 Task 5: Shared Task on Multilingual Detection of Hate, <a href=\"https://www.aclweb.org/anthology/S19-2069.pdf\">https://www.aclweb.org/anthology/S19-2069.pdf</a></p></li>\n<li><p>Xiaolei Huang, Linzi Xing, Franck Dernoncourt, Michael J. Paul,  Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition, <a href=\"https://arxiv.org/pdf/2002.10361.pdf\">https://arxiv.org/pdf/2002.10361.pdf</a></p></li>\n<li><p>Ashwin Geet d’Sa, Irina Illina, Dominique Fohr,  BERT and fastText Embeddings for Automatic\nDetection of Toxic Speech,  <a href=\"https://hal.inria.fr/hal-02448197/document\">https://hal.inria.fr/hal-02448197/document</a></p></li>\n</ol>",
      "rawMarkdown": "Here are some useful papers that I found. Might help designing your approach.\n\n1.  Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung,  Multilingual and Multi-Aspect Hate Speech Analysis,  https://arxiv.org/pdf/1908.11049.pdf\n\n2. Ahmed Elnaggar, Bernhard Waltl, Ingo Glaser, Jörg Landthaler, Elena Scepankova and Florian\nMatthes,  Stop Illegal Comments: A Multi-Task Deep Learning Approach,  https://dl.acm.org/doi/10.1145/3299819.3299845\n\n3. Mike Zhang, Roy David, Leon Graumans, Gerben Timmerman,  Grunn2019 at SemEval-2019 Task 5: Shared Task on Multilingual Detection of Hate, https://www.aclweb.org/anthology/S19-2069.pdf\n\n4.  Xiaolei Huang, Linzi Xing, Franck Dernoncourt, Michael J. Paul,  Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition, https://arxiv.org/pdf/2002.10361.pdf\n\n5. Ashwin Geet d’Sa, Irina Illina, Dominique Fohr,  BERT and fastText Embeddings for Automatic\nDetection of Toxic Speech,  https://hal.inria.fr/hal-02448197/document\n\n",
      "votes": 8
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "796190": "Here are some useful papers that I found. Might help designing your approach.\n\n1.  Nedjma Ousidhoum, Zizheng Lin, Hongming Zhang, Yangqiu Song, Dit-Yan Yeung,  Multilingual and Multi-Aspect Hate Speech Analysis,  https://arxiv.org/pdf/1908.11049.pdf\n\n2. Ahmed Elnaggar, Bernhard Waltl, Ingo Glaser, Jörg Landthaler, Elena Scepankova and Florian\nMatthes,  Stop Illegal Comments: A Multi-Task Deep Learning Approach,  https://dl.acm.org/doi/10.1145/3299819.3299845\n\n3. Mike Zhang, Roy David, Leon Graumans, Gerben Timmerman,  Grunn2019 at SemEval-2019 Task 5: Shared Task on Multilingual Detection of Hate, https://www.aclweb.org/anthology/S19-2069.pdf\n\n4.  Xiaolei Huang, Linzi Xing, Franck Dernoncourt, Michael J. Paul,  Multilingual Twitter Corpus and Baselines for Evaluating Demographic Bias in Hate Speech Recognition, https://arxiv.org/pdf/2002.10361.pdf\n\n5. Ashwin Geet d’Sa, Irina Illina, Dominique Fohr,  BERT and fastText Embeddings for Automatic\nDetection of Toxic Speech,  https://hal.inria.fr/hal-02448197/document\n\n"
  }
}