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ZusammenQA: Data Augmentation with Specialized Models for Cross-lingual Open-retrieval Question Answering System
[article]
2022
arXiv
pre-print
This paper introduces our proposed system for the MIA Shared Task on Cross-lingual Open-retrieval Question Answering (COQA). In this challenging scenario, given an input question the system has to gather evidence documents from a multilingual pool and generate from them an answer in the language of the question. We devised several approaches combining different model variants for three main components: Data Augmentation, Passage Retrieval, and Answer Generation. For passage retrieval, we
arXiv:2205.14981v1
fatcat:72s2goyk2zhzvii7knfvicwkku