基于多策略的单文档问答式信息检索技术

单文档问答式信息检索,即是阅读理解(Reading Comprehension,简称RC).该任务的目的在于理解一篇文档并对提出的问题返回答案句.提出了充分利用外部资源采用多策略技术来提高RC系统性能的方法,包括基于Web的答案模式匹配应用、词汇语义关联推理以及上下文辅助等策略.本方法使得RC系统性能在Remedia标准测试集上的性能得到提高.描述了不同策略对提高系统性能的有效性,t-test结果表明,运用答案模式匹配和词汇语义关联推理策略所得到的性能显著提高;同时分析了指代消解策略在系统中的关键作用;最后比较了RC任务和多文档问答式信息检索(Question Answering,简称QA)任务的差异性.

Multi-strategy Based Single Document Question Answering

Single document question answering is also called Reading Comprehension(RC),which attempts to understand a document and returns an answer sentence when posed with a question.We proposed an approach that adopted multi-strategy and utilized external knowledge to improve the performance of RC,including pattern matching with Web-based answer patterns,lexical semantic relation inference and context assistance.This approach gives improved RC performance on the Remedia corpus.The effectiveness of different strateg...