| Coreference for discourse parsing: A neural approach G Guz, G Carenini Proceedings of the First Workshop on Computational Approaches to Discourse …, 2020 | 23 | 2020 |
| Eye-tracking to predict user cognitive abilities and performance for user-adaptive narrative visualizations O Barral, S Lallé, G Guz, A Iranpour, C Conati Proceedings of the 2020 international conference on multimodal interaction …, 2020 | 16 | 2020 |
| Unleashing the Power of Neural Discourse Parsers--A Context and Structure Aware Approach Using Large Scale Pretraining G Guz, P Huber, G Carenini arXiv preprint arXiv:2011.03203, 2020 | 13 | 2020 |
| Neural RST-based evaluation of discourse coherence G Guz, P Bateni, D Muglich, G Carenini arXiv preprint arXiv:2009.14463, 2020 | 12 | 2020 |
| Towards domain-independent text structuring trainable on large discourse treebanks G Guz, G Carenini Findings of the Association for Computational Linguistics: EMNLP 2020, 3141-3152, 2020 | 3 | 2020 |
| From neural discourse parsing to content structuring: towards a large-scale data-driven approach to discourse processing GA Guz University of British Columbia, 2021 | | 2021 |
Giuseppe CareniniProfessor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
