Multi-Domain Multilingual Question Answering
Sebastian Ruder, Avi Sil · 2021
Question answering (QA) is one of the most challenging and impactful tasks in natural language processing.Most research in QA, however, has focused on the open-domain or monolingual setting while most real-world applications deal with specific domains or languages.In this tutorial, we attempt to bridge this gap.Firstly, we introduce standard benchmarks in multi-domain and multilingual QA.In both scenarios, we discuss stateof-the-art approaches that achieve impressive performance, ranging from zero-shot transfer learning to out-of-the-box training with open-domain QA systems.Finally, we will present open research problems that this new research agenda poses such as multi-task learning, cross-lingual transfer learning, domain adaptation and training large scale pre-trained multilingual language models. 1 1 The tutorial materials are available at https://github.com/sebastianruder/ emnlp2021-multiqa-tutorial.