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NLP_QA

SemEval-2015 Task 3: Answer Selection in Community Question Answering

http://alt.qcri.org/semeval2015/task3/

CQA-QL-train.xml: 训练数据
CQA-QL-devel.xml: 开发数据
test_task3_English.xml: 测试数据

Pretreatment: 预处理
Pretreatment_one.py:预处理1
Pretreatment_one.py:预处理2
PretreatmentUtil.py:预处理工具类

README.md: this file

feature/url

has_url.py: 判断CSubject、CBody是否包括链接
train_has_url.txt: 训练数据,1表示有,0表示无
devel_has_url.txt
test_has_url.txt

feature/metainfo

ParseXML_metadata.py:获取train,dev,test的元数据信息

feature/cuserEqualquser

cuserEqualquser.py:判断question的用户ID和comment的用户ID是否相同

feature/category_probability

category_probability.py:记录每个种类的问题,各种标签的概率

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  • Python 83.0%
  • Perl 17.0%