微型电脑应用2025，Vol.41Issue(3)：86-89,4.
基于BiLSTM-CRF的开放域搜索问答引擎
An Open-domain Search Question-answering Engine Based on BiLSTM-CRF
摘要
Abstract
With the rapid development of information technology,traditional search question answering systems have limitations in handling complex open domain problems.Therefore,this article aims to introduce bidirectional long short-term memory-con-ditional random field(BiLSTM-CRF)model and fully utilize the advantages of the model in bidirectional information processing and long-distance dependency relationship processing,improve the performance of search question answering engine,and an-swer user questions more accurately and comprehensively.The effectiveness of the proposed model in addressing open-domain search question answering engine is demonstrated through experiments conducted on the Yahoo!Answers dataset.Compared with traditional models,the proposed model performs well in capturing semantic relationships in sentences and recognizing named entities,improving the accuracy and robustness of question answering engine.关键词
开放域/BiLSTM-CRF/信息检索/命名实体识别/语义关系Key words
open-domain/BiLSTM-CRF/information retrieval/named entity recognition/semantic relationship分类
信息技术与安全科学引用本文复制引用
李强,庄莉,王秋琳,宋立华,陈江海..基于BiLSTM-CRF的开放域搜索问答引擎[J].微型电脑应用,2025,41(3):86-89,4.基金项目
国网信通产业集团两级协同研发项目(SGITYLYRSCJ2310305) （SGITYLYRSCJ2310305）
