论文标题
应用多语言模型来回答（QA）
Applying Multilingual Models to Question Answering (QA)
论文作者
论文摘要
我们研究单语言和多语言模型在提问（QA）的三种不同语言的任务：英语，芬兰语和日语方面的表现。我们为（1）确定在上下文中确定问题是否可以回答的任务的模型，以及（2）使用IOB标记在上下文中识别答案文本。此外，我们尝试评估预先训练的多语言编码器（多语言BERT）对跨语言零局部学习的有效性，以供答复性和IOB序列分类器。
We study the performance of monolingual and multilingual language models on the task of question-answering (QA) on three diverse languages: English, Finnish and Japanese. We develop models for the tasks of (1) determining if a question is answerable given the context and (2) identifying the answer texts within the context using IOB tagging. Furthermore, we attempt to evaluate the effectiveness of a pre-trained multilingual encoder (Multilingual BERT) on cross-language zero-shot learning for both the answerability and IOB sequence classifiers.
