EMNLP 2021 Tutorial: Multi-Domain Multilingual Question Answering
You can find the link to the conference session on Underline here if you have registered for the conference.
The slides are publicly available at: https://tinyurl.com/multi-qa-tutorial
If you found the content of the tutorial helpful, consider citing it as:
@inproceedings{ruder-sil-2021-multi,
title = "Multi-Domain Multilingual Question Answering",
author = "Ruder, Sebastian and
Sil, Avi",
booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts",
month = nov,
year = "2021",
address = "Punta Cana, Dominican Republic {\&} Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2021.emnlp-tutorials.4",
pages = "17--21",
abstract = "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 state-of-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.",
}