| Deep exhaustive model for nested named entity recognition MG Sohrab, M Miwa Proceedings of the 2018 conference on empirical methods in natural language …, 2018 | 233 | 2018 |
| Class-indexing-based term weighting for automatic text classification F Ren, MG Sohrab Information Sciences 236, 109-125, 2013 | 181 | 2013 |
| BENNERD: A neural named entity linking system for COVID-19 MG Sohrab, K Duong, M Miwa, G Topić, I Masami, T Hiroya Proceedings of the 2020 conference on empirical methods in natural language …, 2020 | 13 | 2020 |
| mgsohrab at wnut 2020 shared task-1: Neural exhaustive approach for entity and relation recognition over wet lab protocols MG Sohrab, AKD Nguyen, M Miwa, H Takamura Proceedings of the Sixth Workshop on Noisy User-generated Text (W-NUT 2020 …, 2020 | 11 | 2020 |
| Centroid-means-embedding: An approach to infusing word embeddings into features for text classification MG Sohrab, M Miwa, Y Sasaki Pacific-Asia Conference on Knowledge Discovery and Data Mining, 289-300, 2015 | 9 | 2015 |
| A neural pipeline approach for the pharmaconer shared task using contextual exhaustive models MG Sohrab, MT Pham, M Miwa, H Takamura Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 47-55, 2019 | 8 | 2019 |
| A Generic Neural Exhaustive Approach for Entity Recognition and Sensitive Span Detection. MG Sohrab, PM Thang, M Miwa IberLEF@ SEPLN, 735-743, 2019 | 7 | 2019 |
| Class Indexing: The Effectiveness of Class-Space-Density in High and Low Dimensional vector space for Text Classification MG Sohrab, F Ren IEEE Cloud Computing and Intelligence Systems, 2012 | 6* | 2012 |
| Customer gender prediction system on hierarchical E-commerce data MM Khan, MG Sohrab, MA Yousuf Beni-Suef University Journal of Basic and Applied Sciences 9, 1-12, 2020 | 5 | 2020 |
| edge2vec: Edge Representations for Large-Scale Scalable Hierarchical Learning MG Sohrab, N Toru, M Miwa, Y Sasaki International Conference on Computational Linguistics and Intelligent Text …, 2017 | 5* | 2017 |
| Detection of Typical Progress Patterns of Industrial Incidents by Text Mining Technique T Nakata, MG Sohrab International Conference on Applied Human Factors and Ergonomics, 221-229, 2017 | 4 | 2017 |
| Combined Term Weighting Scheme Using FFNN, GA, MR, Sum., & Average. for Text Classification MG Sohrab, MA Fattah International Journal of Scientific and Engineering Research 7 (8), 2031-2040, 2016 | 4 | 2016 |
| Span-based neural model for multilingual flat and nested named entity recognition MG Sohrab, MS Bhuiyan 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE), 80-84, 2021 | 3 | 2021 |
| Bert-nar-bert: A non-autoregressive pre-trained sequence-to-sequence model leveraging bert checkpoints MG Sohrab, M Asada, M Rikters, M Miwa IEEE Access, 2023 | 2 | 2023 |
| BiomedCurator: data curation for biomedical literature MG Sohrab, KNA Duong, I Masami, G Topić, Y Natsume-Kitatani, ... Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the …, 2022 | 2 | 2022 |
| In-deductive and dag-tree approaches for large-scale extreme multi-label hierarchical text classification MG Sohrab, M Miwa, Y Sasaki Polibits, 61-70, 2016 | 2 | 2016 |
| A Foundation of Class-Indexing and Class-Semantic-Indexing based Term Weighting Approaches for Automatic Text Classification MG Sohrab (No Title), 2013 | 1 | 2013 |
| KAT5: Knowledge-Aware Transfer Learning with a Text-to-Text Transfer Transformer MG Sohrab, M Miwa Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024 | | 2024 |
| Disease Network Constructor: a Pathway Extraction and Visualization MG Sohrab, K Duong, G Topić, M Ikeda, N Nagano, Y Natsume-Kitatani, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | | 2023 |
| A novel corpus of molecular to higher-order events that facilitates the understanding of the pathogenic mechanisms of idiopathic pulmonary fibrosis N Nagano, N Tokunaga, M Ikeda, H Inoura, DA Khoa, M Miwa, ... Scientific Reports 13 (1), 5986, 2023 | | 2023 |
Makoto MiwaProfessor, Toyota Technological InstituteVerified email at toyota-ti.ac.jp
