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  • A Regularized Competition Model for Question Diffi culty Estimation in Community Question Answering Services-20160520

    1、Information

    publication:EMNLP 2014

    author:Jing Liu(在前一篇sigir基础上,拓展模型的论文)

    2、What

    衡量CQA中问题的困难程度,提出从两个方向建模

    1)利用Competition的比较:Competition Model
    q = {ua q , q ub , ua ub , uo1 ≺ub , · · · , uoM ub } ,

    2) question Text Similarities for QDE,相似程度的问题具有相似的描述。(冷启动问题)

    3、Dataset

    Stack Overflow:

    是一个与程序相关的IT技术问答网站。

    数据下载地址:

    http://www.ics.uci.edu/~duboisc/stackoverflow/

    • qid: Unique question id
    • i: User id of questioner
    • qs: Score of the question
    • qt: Time of the question (in epoch time)
    • tags: a comma-separated list of the tags associated with the question. Examples of tags are ``html'', ``R'', ``mysql'', ``python'', and so on; often between two and six tags are used on each question.
    • qvc: Number of views of this question (at the time of the datadump)
    • qac: Number of answers for this question (at the time of the datadump)
    • aid: Unique answer id
    • j: User id of answerer
    • as: Score of the answer
    • at: Time of the answer

    4、How

    input: question user Competition,question-question的Competition,similarity.

    output: pair compare result.

    method:RCM

    5、Evaluation:accuracy:ACC =# correctly judged question pairs/# all question pairs

    baseline:pagerank,TS,CM

    6、additional analysis

    1)不同方式计算text similarity

    2)estimate difficult sorce of cold start problem:KNN

    3) 不同difficult level的text words 举例

    7、conclusion

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  • 原文地址:https://www.cnblogs.com/baiting/p/5511738.html
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