论文标题
通过文本中的结构化答案回答计数问题
Answering Count Questions with Structured Answers from Text
论文作者
论文摘要
在这项工作中，我们解决了在网络搜索中回答计数查询的挑战案例，例如``John Lennon撰写的歌曲数量''。先前的方法只是用单个，有时令人困惑的数字回答这些方法，或返回具有不同数字的文本片段的排名列表。本文提出了一种用推理，上下文化和解释性证据来回答计数查询的方法。与以前的系统不同，我们的方法不从多个观察结果中取出最终答案，支持计数的语义限定符，并通过列举代表性实例提供证据。具有各种查询的实验，包括现有基准，显示了我们方法的好处以及特定参数设置的影响。我们的代码，数据和交互式系统演示可在https://github.com/ghoshs/coqex和https://nlcounqer.mpi-inf.mpg.de/上公开获得。
In this work we address the challenging case of answering count queries in web search, such as ``number of songs by John Lennon''. Prior methods merely answer these with a single, and sometimes puzzling number or return a ranked list of text snippets with different numbers. This paper proposes a methodology for answering count queries with inference, contextualization and explanatory evidence. Unlike previous systems, our method infers final answers from multiple observations, supports semantic qualifiers for the counts, and provides evidence by enumerating representative instances. Experiments with a wide variety of queries, including existing benchmark show the benefits of our method, and the influence of specific parameter settings. Our code, data and an interactive system demonstration are publicly available at https://github.com/ghoshs/CoQEx and https://nlcounqer.mpi-inf.mpg.de/.
