ĄąxĖŠĘÉîÃú{ęPęŠU\ŧ ^įzrC ŠÆWC CėËBC ûüŠęnC ācĀFC óīģK ūęwïæ 25 ņNåï\_ķW, 1407-1410, 2019 | 14 | 2019 |
nwjc2vec:węĪú{ęEFuR[pXx ÉîÃPęĖŠU\ŧf[^ óīģKC ŠÆW ūęwïæ 23 ņNåï\_ķW, 94-97, 2017 | 13 | 2017 |
chiVe: Towards Industrial-strength Japanese Word Vector Resources--Constructing and Improving Embedding with Tokenizer S Hisamoto, T Yamamura, A Katsuta, Y Takebayashi, K Takaoka, ... IEICE Technical Report; IEICE Tech. Rep. 120 (166), 40-45, 2020 | 5 | 2020 |
vI@BwKðpĒ―ðjIŋÖĖũ_t^ĖĐŪŧ ŠÆWC ŽŽįC ŽØ]qMC ž{TĄ îņwï_ķ 54 (4), 1641-1654, 2013 | 5 | 2013 |
Construction of Evaluation Dataset for Japanese Lexical Semantic Change Detection Z Ling, T Aida, T Oka, M Komachi Proceedings of the 37th Pacific Asia Conference on Language, Information and c, 2023 | 4 | 2023 |
Japanese Named Entity Recognition from Automatic Speech Recognition Using Pre-trained Models S Kondo, N Ueda, T Oka, M Sugiyama, A Hentona, M Komachi Proceedings of the 36th Pacific Asia Conference on Language, Information and c, 2022 | 4 | 2022 |
Zuo Zhuan ancient Chinese dataset for word sense disambiguation X Pan, H Wang, T Oka, M Komachi Proceedings of the 2022 Conference of the North American Chapter of the c, 2022 | 4 | 2022 |
ūęĪĖ―ßĖdqŧŦ ŠÆW `N°EŽėjj (Ō)wR[pXÆŦx(u, 2019 | 4 | 2019 |
ĀHãÃpęĖę\ŽvfoĖÝ āRīqC ŠÆWC ðĀÞC ŽėģqC Rč―C ĮĐĻé ūęđp[NVbv\_ķW= Proceedings of Language Resources c, 2018 | 4 | 2018 |
\LĖoG[Vðlķĩ―ßãú{ęĖ`ÔfðÍ ŠÆWC ŽŽįC ŽØ]qMC ž{TĄ lHm\wïSåï_ķW æ 27 ņ (2013), 2B12-2B12, 2013 | 4 | 2013 |
Automatic Labeling of Voiced Consonants for Morphological Analysis of Modern Japanese Literature T Oka, M Komachi, T Ogiso, Y Matsumoto Proceedings of 5th International Joint Conference on Natural Language c, 2011 | 4 | 2011 |
Effectiveness of Pre-Trained Language Models for the Japanese Winograd Schema Challenge K Takahashi, T Oka, M Komachi Journal of Advanced Computational Intelligence and Intelligent Informatics c, 2023 | 3 | 2023 |
chiVe: ŧipÂ\Čú{ęPęxNgđĖĀŧÖüŊÄ~ `ÔfðÍí Sudachi ÆīåKÍEFuR[pX NWJC ÉæéŠU\ŧĖlūÆüĮ~ v{óCC RšC cNOC |ŅClC ŠęnC ācĀFC ŠÆWC ... dqîņĘMwïZpĪņ; MwZņ 120 (166), 40-45, 2020 | 3 | 2020 |
ĻĩáŨčŊņąĪm[g: Įh{mECXgN^[ĖAhoCXÉîÃNAhoCXVXe ŠÆWC ūš_C rqpĄC ÍīåãC īõv ūęwïæ 22 ņNåï\eW, 461-464, 2016 | 3 | 2016 |
R[pXĮc[ uív ÉæéPęîņtŦÃTęR[pXĖp ŽØ]qMC ŠÆWC ŽŽįC ž{TĄ ķņāņąņ 2011 _ķW 2011 (8), 255-260, 2011 | 3 | 2011 |
NEh\[VOðpĒ―ūęŠÍ óīģKC ŠÆWC žāđbC ÁĄËC Rč― ú{ūęwïæ 158 ņåï\eW, 359-384, 2019 | 2 | 2019 |
@BwKÉæéßãķęķÖĖũ_ĖĐŪt^ ŠÆWC ŽŽįC ŽØ]qMC ž{TĄ Īņđšūęîņ (SLP) 2011 (6), 1-8, 2011 | 2 | 2011 |
Token-length Bias in Minimal-pair Paradigm Datasets N Ueda, M Mita, T Oka, M Komachi Proceedings of the 2024 Joint International Conference on Computational c, 2024 | 1 | 2024 |
ú{ęķ@ëčųģ]ŋR[pXÖĖëp^OtŊ ŽRÉCC ėFžĐ°C OcëlC ŠÆWC ŽŽį ĪņĐRūę (NL) 2022 (17), 1-9, 2022 | 1 | 2022 |
åKÍ[UĖØÝîņÉîÃGAĖÁĨtŊÆ COVID-19 ÉæéeŋŠÍ ŊqaVC ÂØrîC ÄāVņYC ÍûMv îņwï_ķ 62 (10), 1644-1657, 2021 | 1 | 2021 |