Natural Questions in Icelandic
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
We present the first extractive question answering (QA) dataset for Icelandic, Natural Questions in Icelandic (NQiI). Developing such datasets is important for the development and evaluation of Icelandic QA systems. It also aids in the development of QA methods that need to work for a wide range of morphologically and grammatically different languages in a multilingual setting. The dataset was created by asking contributors to come up with questions they would like to know the answer to. Later, they were tasked with finding answers to each others questions following a previously published methodology. The questions are Natural in the sense that they are real questions posed out of interest in knowing the answer. The complete dataset contains 18 thousand labeled entries of which 5,568 are directly suitable for training an extractive QA system for Icelandic. The dataset is a valuable resource for Icelandic which we demonstrate by creating and evaluating a system capable of extractive QA in Icelandic.
Original language | English |
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Title of host publication | 2022 Language Resources and Evaluation Conference, LREC 2022 |
Editors | Nicoletta Calzolari, Frederic Bechet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Helene Mazo, Jan Odijk, Stelios Piperidis |
Number of pages | 9 |
Publisher | European Language Resources Association (ELRA) |
Publication date | 2022 |
Pages | 4488-4496 |
ISBN (Electronic) | 9791095546726 |
Publication status | Published - 2022 |
Externally published | Yes |
Event | 13th International Conference on Language Resources and Evaluation Conference, LREC 2022 - Marseille, France Duration: 20 Jun 2022 → 25 Jun 2022 |
Conference
Conference | 13th International Conference on Language Resources and Evaluation Conference, LREC 2022 |
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Land | France |
By | Marseille |
Periode | 20/06/2022 → 25/06/2022 |
Sponsor | 3M, Emvista, et al., Google, SADILAR, Vocapia |
Bibliographical note
Funding Information:
We would like to thank Akari Asai for granting us access to the annotation software we adapted for this project. We would also like to thank the student annotators: Bergur Tareq Tamimi, Ingibjörg Iða Auðunardóttir, Unnar Ingi Sæmundsson, Hildur Bjarnadóttir and Helgi Valur Gunnarsson. They were supported by a grant from the Icelandic student innovation fund. Finally, we thank the anonymous reviewers for their helpful comments and questions.
Publisher Copyright:
© European Language Resources Association (ELRA), licensed under CC-BY-NC-4.0.
- Icelandic, QA, question answering
Research areas
ID: 371184733