This paper presents a now method for answer ranking in question answering (QA) track.
本文描述了一种问题回答任务中答案排序的新方法。
Then, this similarity score is used as a new feature for answer ranking in open domain question answering (QA) track.
这种匹配得分被作为新的特征，应用于计算答案的置信度之中。
Answer ranking is one of the key technologies in the question answering system, and the confidence score is used to rank the answers.
答案排序是问题回答中的关键技术之一，它通过计算答案的置信度来对候选答案进行排序。
However, the current answer ranking technology is not good. So, it is important to do some research on the confidence based answer ranking.
目前的答案排序方法还不够成熟，因此基于置信度的答案排序技术的研究具有重要的意义。
The bottom line is that no ranking system or formula can really answer the question of what college a student should attend.
最重要的是，没有哪个排名体系或公式能真正回答应该上哪所大学的问题。
To improve question answering (QA) performance based on real-world web data sets, a new set of question classes and a general answer re-ranking model are defined.
为了改善真实网络数据集上自动问答系统的性能，定义出新的问题类别集合和通用的答案重新排序模型。
To improve question answering (QA) performance based on real-world web data sets, a new set of question classes and a general answer re-ranking model are defined.
为了改善真实网络数据集上自动问答系统的性能，定义出新的问题类别集合和通用的答案重新排序模型。
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