Publication
Towards Multilingual Neural Question Answering
Ekaterina Loginova; Stalin Varanasi; Günter Neumann
In: 1st International Workshop on Artificial Intelligence for Question Answering. International Workshop on Artificial Intelligence for Question Answering (AI*QA-2018), located at 22nd European Conference on Advances in Databases and Information Systems (ADBIS 2018), September 2, Budapest, Hungary, Communications in Computer and Information Science (Springer), Springer, 2018.
Abstract
Cross-lingual and multilingual question answering is a critical part of a successful and accessible natural language interface. However, many current solutions are unsatisfactory. We believe that recent developments in deep learning approaches are likely to be efficient for question answering tasks spanning several languages. This work aims to discuss current achievements and remaining challenges. We outline requirements and suggestions for practical parallel data collection and describe existing methods and datasets. We also demonstrate that a simple translation of texts can be inadequate in case of Arabic, English and German languages (on InsuranceQA and SemEval datasets), and thus more sophisticated models are required. We hope that our findings will ignite interest in neural approaches to multilingual question answering.