句子相似度计算及其应用

随着互联网技术的发展，智能答疑系统也受到了更多的关注，应用它能够及时给学生提供学生疑惑的问题答案。智能答疑系统通常包括问句理解、信息检索、答案抽取和选择三个主要部分，其中句子相似度计算是问句理解的一部分，它的性能将直接影响到最后答案的准确性。本文通过对词型和普通的编辑距离算法为基础，加入了词性的语义信息，提出了一种新的句子相似度算法，并将其应用到计算机基础课程答疑系统中，使得系统的正确率有了较大的提高。

Sentence Similarity Computation and Application

With the development of Internet technology, the Intelligent Answering also has drown more attention, because it can solve user unsure questions timely. Intelligent Answering system typically includes comprehension questions, information retrieval and answer extraction and selection. Sentence Similarity Computation is a part of comprehension questions, which directly affects the accuracy of the final answers. This is based on the morphological pattern and improved edit-distance method, adding semantic information of words and taking weight into account to the new sentence similarity method in. And Intelligent Answering is implemented, to make the correct rate of the system greatly improved.