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semantic-textual-similarity's Introduction

通过机器学习相关算法,检测两个句子的语义相似度

1.项目内容:

本次项目提供一系列的英文句子对,每个句子对的两个句子,在语义上具有一定的相似性;每个句子对,获得一个在0-5之间的分值来衡量两个句子的语义相似性,打分越高说明两者的语义越相近。

项目提供数据为txt文件,字段之间以tab分割。

训练数据文件,共有1500个数据样本,共有4个字段;第一个字段为样本编号,第二个字段为一个句子,第三个字段为另一个句子,第四个字段为两个句子的语义相似度打分,如下:

10001 two big brown dogs running through the snow. A brown dog running through the grass. 2.00000

10002 A woman is peeling a potato. A woman is slicing a tomato. 1.33300

测试数据文件,共有750个数据样本,共有3个字段;第一个字段为样本编号,第二个字段为一个句子,第三个字段为另一个句子, 举训练样例说明如下:

10001 two big brown dogs running through the snow. A brown dog running through the grass.

10002 A woman is peeling a potato. A woman is slicing a tomato.

2.基本思路:

参见我们第一周的pdf

3.最终成绩

第五名

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