论文标题
一致：新闻文章的开放式问题生成
CONSISTENT: Open-Ended Question Generation From News Articles
论文作者
论文摘要
关于问题的最新工作主要集中在事实问题上，例如谁，什么，何时，基本事实。生成开放式的原因，如何，如何，什么等。需要长形答案的问题被证明更加困难。为了促进开放式问题的产生，我们提出了一致的，这是一种新的端到端系统，用于产生开放式问题，这些问题可以从输入文本中回答和忠实。使用新闻文章作为实验的值得信赖的基础，我们使用自动和人类的评估证明了模型对几个基线的强度。我们为专家生成的开放式问题提供评估数据集。我们讨论新闻媒体组织的潜在下游应用程序。
Recent work on question generation has largely focused on factoid questions such as who, what, where, when about basic facts. Generating open-ended why, how, what, etc. questions that require long-form answers have proven more difficult. To facilitate the generation of open-ended questions, we propose CONSISTENT, a new end-to-end system for generating open-ended questions that are answerable from and faithful to the input text. Using news articles as a trustworthy foundation for experimentation, we demonstrate our model's strength over several baselines using both automatic and human=based evaluations. We contribute an evaluation dataset of expert-generated open-ended questions.We discuss potential downstream applications for news media organizations.
