{ "id": 190514, "title": "Important Research Papers for Competition", "url": "/competitions/riiid-test-answer-prediction/discussion/190514", "author_name": "Ishan Dutta", "post_date": "2020-10-12T05:28:49.164000", "votes": 5, "comment_count": 0, "views": 0, "content": "
    \n
  1. Answer Quality Characteristics and Prediction on an\nAcademic Q&A Site: A Case Study on ResearchGate
    2. \n
  2. A Probabilistic Graphical Model for Joint Answer Ranking\nin Question Answering
    3. \n
  3. Exploring Question Subjectivity Prediction in Community QA
    4. \n
  4. The Sum is Greater than the Parts: Ensembling Models of\nStudent Knowledge in Educational Software
    5. \n
  5. Deep Knowledge Tracing
    6. \n
  6. Beyond Binary Correctness: Classification of Students’\nAnswers in Learning Systems
    7. \n
  7. Knowledge Query Network for Knowledge Tracing
    8. \n
", "messages": [ { "id": 1046926, "postDate": "2020-10-12T05:28:49.163Z", "content": "
    \n
  1. Answer Quality Characteristics and Prediction on an\nAcademic Q&A Site: A Case Study on ResearchGate
    2. \n
  2. A Probabilistic Graphical Model for Joint Answer Ranking\nin Question Answering
    3. \n
  3. Exploring Question Subjectivity Prediction in Community QA
    4. \n
  4. The Sum is Greater than the Parts: Ensembling Models of\nStudent Knowledge in Educational Software
    5. \n
  5. Deep Knowledge Tracing
    6. \n
  6. Beyond Binary Correctness: Classification of Students’\nAnswers in Learning Systems
    7. \n
  7. Knowledge Query Network for Knowledge Tracing
    8. \n
", "rawMarkdown": "1. [Answer Quality Characteristics and Prediction on an\nAcademic Q&A Site: A Case Study on ResearchGate ](http://d-scholarship.pitt.edu/25295/1/Answer.pdf)\n2. [A Probabilistic Graphical Model for Joint Answer Ranking\nin Question Answering](http://www.cs.cmu.edu/~jko/paper/sigir.pdf)\n3. [Exploring Question Subjectivity Prediction in Community QA ](https://d1wqtxts1xzle7.cloudfront.net/14517/2kstfesvbsjbnptckj71.pdf?1425063034=&response-content-disposition=inline%3B+filename%3DExploring_b_question_b_subjectivity_pred.pdf&Expires=1602482374&Signature=GfqZqs6Q~3lb3zRc~AJcqrKRoEthTN0xqukrTBMa6K-WHy0KI90NLM6v9WvPmBeqzRulZG2LvVO66BHkEn5-Ee15P7LNUANEBykGKLOQQoLZVTHCWHdnQSbTQf3U0Edwq9UnkEgzhMrsy8aaQb1j31fls2t-ukeMcHzjTDX-b4GaYnycb90mmQ1V61oCldqa6kAyKM~fHrukmKR5GP8R37egRT5qQ-C8KsriLaGRYpB3Nh7CCmRgyldsw1Y2CkXIUzpwYZpnK-HITI3E9KhyBkjWkDcGgX-f9Ybsiu4ErC6ovgJVwD~3qcu-coI7SebZErk4jmhZINv5WRpqO84Q7g__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA)\n4. [The Sum is Greater than the Parts: Ensembling Models of\nStudent Knowledge in Educational Software](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.402.4563&rep=rep1&type=pdf)\n5. [Deep Knowledge Tracing](https://papers.nips.cc/paper/5654-deep-knowledge-tracing.pdf)\n6. [Beyond Binary Correctness: Classification of Students’\nAnswers in Learning Systems](https://www.fi.muni.cz/~xpelanek/publications/answer-classification.pdf)\n7. [Knowledge Query Network for Knowledge Tracing](https://arxiv.org/pdf/1908.02146.pdf)", "votes": 5 } ], "comments": [], "raw_markdown_by_id": { "1046926": "1. [Answer Quality Characteristics and Prediction on an\nAcademic Q&A Site: A Case Study on ResearchGate ](http://d-scholarship.pitt.edu/25295/1/Answer.pdf)\n2. [A Probabilistic Graphical Model for Joint Answer Ranking\nin Question Answering](http://www.cs.cmu.edu/~jko/paper/sigir.pdf)\n3. [Exploring Question Subjectivity Prediction in Community QA ](https://d1wqtxts1xzle7.cloudfront.net/14517/2kstfesvbsjbnptckj71.pdf?1425063034=&response-content-disposition=inline%3B+filename%3DExploring_b_question_b_subjectivity_pred.pdf&Expires=1602482374&Signature=GfqZqs6Q~3lb3zRc~AJcqrKRoEthTN0xqukrTBMa6K-WHy0KI90NLM6v9WvPmBeqzRulZG2LvVO66BHkEn5-Ee15P7LNUANEBykGKLOQQoLZVTHCWHdnQSbTQf3U0Edwq9UnkEgzhMrsy8aaQb1j31fls2t-ukeMcHzjTDX-b4GaYnycb90mmQ1V61oCldqa6kAyKM~fHrukmKR5GP8R37egRT5qQ-C8KsriLaGRYpB3Nh7CCmRgyldsw1Y2CkXIUzpwYZpnK-HITI3E9KhyBkjWkDcGgX-f9Ybsiu4ErC6ovgJVwD~3qcu-coI7SebZErk4jmhZINv5WRpqO84Q7g__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA)\n4. [The Sum is Greater than the Parts: Ensembling Models of\nStudent Knowledge in Educational Software](http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.402.4563&rep=rep1&type=pdf)\n5. [Deep Knowledge Tracing](https://papers.nips.cc/paper/5654-deep-knowledge-tracing.pdf)\n6. [Beyond Binary Correctness: Classification of Students’\nAnswers in Learning Systems](https://www.fi.muni.cz/~xpelanek/publications/answer-classification.pdf)\n7. [Knowledge Query Network for Knowledge Tracing](https://arxiv.org/pdf/1908.02146.pdf)" } }