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Confidently making progress on multilingual modeling requires challenging, trustworthy evaluations. We present TyDi QA—a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs. The languages of TyDi QA are diverse with regard to their typology—the set...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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The MIT Press
2020-07-01
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| Series: | Transactions of the Association for Computational Linguistics |
| Online Access: | https://www.mitpressjournals.org/doi/abs/10.1162/tacl_a_00317 |
| _version_ | 1818641707388895232 |
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| author | Clark, Jonathan H. Choi, Eunsol Collins, Michael Garrette, Dan Kwiatkowski, Tom Nikolaev, Vitaly Palomaki, Jennimaria |
| author_facet | Clark, Jonathan H. Choi, Eunsol Collins, Michael Garrette, Dan Kwiatkowski, Tom Nikolaev, Vitaly Palomaki, Jennimaria |
| author_sort | Clark, Jonathan H. |
| collection | DOAJ |
| description | Confidently making progress on multilingual modeling requires challenging, trustworthy evaluations. We present TyDi QA—a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs. The languages of TyDi QA are diverse with regard to their typology—the set of linguistic features each language expresses—such that we expect models performing well on this set to generalize across a large number of the world’s languages. We present a quantitative analysis of the data quality and example-level qualitative linguistic analyses of observed language phenomena that would not be found in English-only corpora. To provide a realistic information-seeking task and avoid priming effects, questions are written by people who want to know the answer, but don’t know the answer yet, and the data is collected directly in each language without the use of translation. |
| first_indexed | 2024-12-16T23:31:27Z |
| format | Article |
| id | doaj.art-94b21f9f873d4565b56d0359715995cc |
| institution | Directory Open Access Journal |
| issn | 2307-387X |
| language | English |
| last_indexed | 2024-12-16T23:31:27Z |
| publishDate | 2020-07-01 |
| publisher | The MIT Press |
| record_format | Article |
| series | Transactions of the Association for Computational Linguistics |
| spelling | doaj.art-94b21f9f873d4565b56d0359715995cc2022-12-21T22:11:52ZengThe MIT PressTransactions of the Association for Computational Linguistics2307-387X2020-07-01845447010.1162/tacl_a_00317TClark, Jonathan H.Choi, EunsolCollins, MichaelGarrette, DanKwiatkowski, TomNikolaev, VitalyPalomaki, JennimariaConfidently making progress on multilingual modeling requires challenging, trustworthy evaluations. We present TyDi QA—a question answering dataset covering 11 typologically diverse languages with 204K question-answer pairs. The languages of TyDi QA are diverse with regard to their typology—the set of linguistic features each language expresses—such that we expect models performing well on this set to generalize across a large number of the world’s languages. We present a quantitative analysis of the data quality and example-level qualitative linguistic analyses of observed language phenomena that would not be found in English-only corpora. To provide a realistic information-seeking task and avoid priming effects, questions are written by people who want to know the answer, but don’t know the answer yet, and the data is collected directly in each language without the use of translation.https://www.mitpressjournals.org/doi/abs/10.1162/tacl_a_00317 |
| spellingShingle | Clark, Jonathan H. Choi, Eunsol Collins, Michael Garrette, Dan Kwiatkowski, Tom Nikolaev, Vitaly Palomaki, Jennimaria T Transactions of the Association for Computational Linguistics |
| title | T |
| title_full | T |
| title_fullStr | T |
| title_full_unstemmed | T |
| title_short | T |
| title_sort | t |
| url | https://www.mitpressjournals.org/doi/abs/10.1162/tacl_a_00317 |
| work_keys_str_mv | AT clarkjonathanh t AT choieunsol t AT collinsmichael t AT garrettedan t AT kwiatkowskitom t AT nikolaevvitaly t AT palomakijennimaria t |