| International students’ willingness to communicate in English as a second language: The effects of l2 self-confidence, acculturation, and motivational types T Aoyama, T Takahashi Journal of International Students 10 (3), 703-723, 2020 | 49 | 2020 |
| GENTLE: A genre-diverse multilayer challenge set for English NLP and linguistic evaluation T Aoyama, S Behzad, L Gessler, L Levine, J Lin, YJ Liu, S Peng, Y Zhu, ... arXiv preprint arXiv:2306.01966, 2023 | 8 | 2023 |
| What's Hard in English RST Parsing? Predictive Models for Error Analysis YJ Liu, T Aoyama, A Zeldes arXiv preprint arXiv:2309.04940, 2023 | 5 | 2023 |
| Probe-less probing of BERT’s layer-wise linguistic knowledge with masked word prediction T Aoyama, N Schneider Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 3 | 2022 |
| DISRPT: A Multilingual, Multi-domain, Cross-Framework Benchmark For Discourse Processing C Braud, A Zeldes, L Rivière, YJ Liu, P Muller, D Sileo, T Aoyama Proceedings of the 2024 Joint International Conference on Computational …, 2024 | 2 | 2024 |
| Comparing native and learner englishes using a large pre-trained language model T Aoyama Proceedings of the 11th Workshop on NLP for Computer Assisted Language …, 2022 | 2 | 2022 |
| eRST: A Signaled Graph Theory of Discourse Relations and Organization A Zeldes, T Aoyama, YJ Liu, S Peng, D Das, L Gessler Computational Linguistics, 1-50, 2024 | | 2024 |
| Modeling Nonnative Sentence Processing with L2 Language Models T Aoyama, N Schneider Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | | 2024 |
| GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains YJ Liu, T Aoyama, W Scivetti, Y Zhu, S Behzad, LE Levine, J Lin, D Tiwari, ... arXiv preprint arXiv:2411.00491, 2024 | | 2024 |
| J-SNACS: Adposition and Case Supersenses for Japanese Joshi T Aoyama, C Taguchi, N Schneider Proceedings of the 2024 Joint International Conference on Computational …, 2024 | | 2024 |
| Identifying Fairness Issues in Automatically Generated Testing Content K Stowe, B Longwill, A Francis, T Aoyama, D Ghosh, S Somasundaran arXiv preprint arXiv:2404.15104, 2024 | | 2024 |
| Corpus-Based Investigation of the Markedness and Frequency of Japanese Passives in Contemporary Written Japanese T Aoyama Society for Computation in Linguistics 6 (1), 2023 | | 2023 |
| A Corpus-based Multifactorial Analysis of Japanese and Chinese Speakers’ English Article Use: Quantifying the Deviation Using Mupdar T Aoyama Michigan State University, 2020 | | 2020 |
| JSNACS: Adposition and Case Supersenses for Japanese Joshi C Statistics, T Aoyama, C Taguchi, N Schneider | | |
YANG JANET LIUPostdoctoral Researcher, MaiNLP@LMU Munichcis.lmu.de의 이메일 확인됨