Cross-Lingual QA as a Stepping Stone for Monolingual Open QA in Icelandic
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
It can be challenging to build effective open question answering (open QA) systems for languages other than English, mainly due to a lack of labeled data for training. We present a data efficient method to bootstrap such a system for languages other than English. Our approach requires only limited QA resources in the given language, along with machine-translated data, and at least a bilingual language model. To evaluate our approach, we build such a system for the Icelandic language and evaluate performance over trivia style datasets. The corpora used for training are English in origin but machine translated into Icelandic. We train a bilingual Icelandic/English language model to embed English context and Icelandic questions following methodology introduced with DensePhrases (Lee et al., 2021). The resulting system is an open domain cross-lingual QA system between Icelandic and English. Finally, the system is adapted for Icelandic only open QA, demonstrating how it is possible to efficiently create an open QA system with limited access to curated datasets in the language of interest.
Original language | English |
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Title of host publication | MIA 2022 - Workshop on Multilingual Information Access, Proceedings of the Workshop |
Editors | Akari Asai, Eunsol Choi, Jonathan H. Clark, Junjie Hu, Chia-Hsuan Lee, Jungo Kasai, Shayne Longpre, Ikuya IkuyaYamada, Rui Zhang |
Number of pages | 8 |
Publisher | Association for Computational Linguistics (ACL) |
Publication date | 2022 |
Pages | 29-36 |
ISBN (Electronic) | 9781955917896 |
Publication status | Published - 2022 |
Externally published | Yes |
Event | 2022 Workshop on Multilingual Information Access, MIA 2022 - Seattle, United States Duration: 15 Jul 2022 → … |
Conference
Conference | 2022 Workshop on Multilingual Information Access, MIA 2022 |
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Land | United States |
By | Seattle |
Periode | 15/07/2022 → … |
Bibliographical note
Publisher Copyright:
© 2022 Association for Computational Linguistics.
ID: 371184644