| Machine learning–driven language assessment B Settles, G T. LaFlair, M Hagiwara Transactions of the Association for computational Linguistics 8, 247-263, 2020 | 105 | 2020 |
| Safety information mining—what can nlp do in a disaster— G Neubig, Y Matsubayashi, M Hagiwara, K Murakami Proceedings of 5th international joint conference on natural language …, 2011 | 104 | 2011 |
| Second language acquisition modeling B Settles, C Brust, E Gustafson, M Hagiwara, N Madnani Proceedings of the thirteenth workshop on innovative use of NLP for building …, 2018 | 101 | 2018 |
| Comparison of the Impact of Word Segmentation on Name Tagging for Chinese and Japanese. H Li, M Hagiwara, Q Li, H Ji LREC 2014, 2532-2536, 2014 | 92 | 2014 |
| Selection of effective contextual information for automatic synonym acquisition M Hagiwara, Y Ogawa, K Toyama Proceedings of the 21st International Conference on Computational …, 2006 | 58 | 2006 |
| Cross-lingual transfer of named entity recognizers without parallel corpora A Zirikly, M Hagiwara Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015 | 57 | 2015 |
| A supervised learning approach to automatic synonym identification based on distributional features M Hagiwara Proceedings of the ACL-08: HLT Student Research Workshop, 1-6, 2008 | 53 | 2008 |
| GitHub typo corpus: A large-scale multilingual dataset of misspellings and grammatical errors M Hagiwara, M Mita arXiv preprint arXiv:1911.12893, 2019 | 35 | 2019 |
| Supervised synonym acquisition using distributional features and syntactic patterns M Hagiwara, Y Ogawa, K Toyama Information and Media Technologies 4 (2), 558-582, 2009 | 32 | 2009 |
| Diamonds in the rough: Generating fluent sentences from early-stage drafts for academic writing assistance T Ito, T Kuribayashi, H Kobayashi, A Brassard, M Hagiwara, J Suzuki, ... arXiv preprint arXiv:1910.09180, 2019 | 23 | 2019 |
| BEANS: The benchmark of animal sounds M Hagiwara, B Hoffman, JY Liu, M Cusimano, F Effenberger, K Zacarian ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 22 | 2023 |
| Shared task on feedback comment generation for language learners R Nagata, M Hagiwara, K Hanawa, M Mita, A Chernodub, O Nahorna Proceedings of the 14th International Conference on Natural Language …, 2021 | 22 | 2021 |
| PLSI utilization for automatic thesaurus construction M Hagiwara, Y Ogawa, K Toyama International Conference on Natural Language Processing, 334-345, 2005 | 21 | 2005 |
| Metric learning for synonym acquisition N Shimizu, M Hagiwara, Y Ogawa, K Toyama, H Nakagawa Proceedings of the 22nd International Conference on Computational …, 2008 | 18 | 2008 |
| Aves: Animal vocalization encoder based on self-supervision M Hagiwara ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 16 | 2023 |
| Semi-supervised joint estimation of word and document readability Y Fujinuma, M Hagiwara arXiv preprint arXiv:2104.13103, 2021 | 14 | 2021 |
| Latent class transliteration based on source language origin M Hagiwara, S Sekine Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011 | 13 | 2011 |
| User interface device, user interface method, program, and computer-readable information storage medium S Masuko, M Hagiwara US Patent 10,591,998, 2020 | 12 | 2020 |
| Towards automated document revision: Grammatical error correction, fluency edits, and beyond M Mita, K Sakaguchi, M Hagiwara, T Mizumoto, J Suzuki, K Inui arXiv preprint arXiv:2205.11484, 2022 | 11 | 2022 |
| TEASPN: Framework and protocol for integrated writing assistance environments M Hagiwara, T Ito, T Kuribayashi, J Suzuki, K Inui arXiv preprint arXiv:1909.02621, 2019 | 10 | 2019 |
Burr SettlesFawm LabsZweryfikowany adres z fawm.org
