农业知识问答系统句子相似度算法研究

在农业领域中，农业知识问答系统以其能接受自然语言检索和直接返回精确答案而成为一种新的信息检索技术。针对农业领域，提出了一种多重信息融合的句子相似度算法。该算法结合了句子的结构信息、词法信息和语义信息，同时考虑农业知识问答系统中问句的特征，使其更适合应用在农业特定领域中，并通过实验验证了算法的可行性和准确性。

Research on Similarity Algorithm of Sentence for Agricultural Knowledge Question Answering System

In the agricultural field, agricultural knowledge question answering system has become a new kind of information retrieval technology because it can receive natural language retrieval and return the accurate answers directly. In this thesis a kind of sentence similarity algorithm on multiple information fusion in the agricultural field was proposed, which integrated information of sentence structure, morphology and semantics, and also the features of question sentence in the agricultural knowledge question answering system, to make it more suitable for applications in specific areas of agriculture, and finally the viability and accuracy of the algorithm via experiments were proved.