Maija Sevón
2021
Finnish Paraphrase Corpus
Jenna Kanerva
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Filip Ginter
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Li-Hsin Chang
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Iiro Rastas
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Valtteri Skantsi
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Jemina Kilpeläinen
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Hanna-Mari Kupari
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Jenna Saarni
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Maija Sevón
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Otto Tarkka
Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)
In this paper, we introduce the first fully manually annotated paraphrase corpus for Finnish containing 53,572 paraphrase pairs harvested from alternative subtitles and news headings. Out of all paraphrase pairs in our corpus 98% are manually classified to be paraphrases at least in their given context, if not in all contexts. Additionally, we establish a manual candidate selection method and demonstrate its feasibility in high quality paraphrase selection in terms of both cost and quality.
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Co-authors
- Jenna Kanerva 1
- Filip Ginter 1
- Li-Hsin Chang 1
- Iiro Rastas 1
- Valtteri Skantsi 1
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