| Learning from disagreement: A survey AN Uma, T Fornaciari, D Hovy, S Paun, B Plank, M Poesio Journal of Artificial Intelligence Research 72, 1385-1470, 2021 | 154 | 2021 |
| Comparing Bayesian models of annotation S Paun, B Carpenter, J Chamberlain, D Hovy, U Kruschwitz, M Poesio Transactions of the Association for Computational Linguistics 6, 571-585, 2018 | 117 | 2018 |
| Beyond black & white: Leveraging annotator disagreement via soft-label multi-task learning T Fornaciari, A Uma, S Paun, B Plank, D Hovy, M Poesio Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 107 | 2021 |
| We need to consider disagreement in evaluation V Basile, M Fell, T Fornaciari, D Hovy, S Paun, B Plank, M Poesio, A Uma Proceedings of the 1st workshop on benchmarking: past, present and future, 15-21, 2021 | 105 | 2021 |
| A crowdsourced corpus of multiple judgments and disagreement on anaphoric interpretation M Poesio, J Chamberlain, S Paun, J Yu, A Uma, U Kruschwitz Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 59 | 2019 |
| A case for soft loss functions A Uma, T Fornaciari, D Hovy, S Paun, B Plank, M Poesio Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 8 …, 2020 | 48 | 2020 |
| Statistical methods for annotation analysis S Paun, R Artstein, M Poesio Springer Nature, 2022 | 30 | 2022 |
| A probabilistic annotation model for crowdsourcing coreference S Paun, J Chamberlain, U Kruschwitz, J Yu, M Poesio Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 21 | 2018 |
| Computational models of anaphora M Poesio, J Yu, S Paun, A Aloraini, P Lu, J Haber, D Cokal Annual Review of Linguistics 9 (1), 561-587, 2023 | 17 | 2023 |
| Stay Together: A System for Single and Split-antecedent Anaphora Resolution J Yu, NS Moosavi, S Paun, M Poesio Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 14 | 2021 |
| Free the Plural: Unrestricted Split-Antecedent Anaphora Resolution J Yu, NS Moosavi, S Paun, M Poesio Proceedings of the 28th International Conference on Computational …, 2020 | 14 | 2020 |
| Progression in a language annotation game with a purpose C Madge, J Yu, J Chamberlain, U Kruschwitz, S Paun, M Poesio Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 7 …, 2019 | 11 | 2019 |
| Aggregating and learning from multiple annotators S Paun, E Simpson Proceedings of the 16th Conference of the European Chapter of the …, 2021 | 10 | 2021 |
| Crowdsourcing and aggregating nested markable annotations C Madge, J Yu, J Chamberlain, U Kruschwitz, S Paun, M Poesio Association for Computational Linguistics, 2019 | 9 | 2019 |
| Scoring coreference chains with split-antecedent anaphors S Paun, J Yu, NS Moosavi, M Poesio Dialogue & Discourse 14 (No. 2), 2023 | 8 | 2023 |
| The Universal Anaphora Scorer J Yu, S Khosla, NS Moosavi, S Paun, S Pradhan, M Poesio Proceedings of the 13th Conference on Language Resources and Evaluation …, 2022 | 8 | 2022 |
| Aggregating crowdsourced and automatic judgments to scale up a corpus of anaphoric reference for fiction and wikipedia texts J Yu, S Paun, M Camilleri, PC Garcia, J Chamberlain, U Kruschwitz, ... Proceedings of the 17th Conference of the European Chapter of the …, 2022 | 7 | 2022 |
| Aggregation driven progression system for GWAPs OD Kicikoglu, R Bartle, J Chamberlain, S Paun, M Poesio Workshop on Games and Natural Language Processing, 79-84, 2020 | 7 | 2020 |
| The universal anaphora scorer 2.0 J Yu, M Novák, A Aloraini, NS Moosavi, S Paun, S Pradhan, M Poesio Proceedings of the 15th International Conference on Computational Semantics …, 2023 | 5 | 2023 |
| Probabilistic Models of Agreement S Paun, R Artstein, M Poesio Statistical Methods for Annotation Analysis, 79-101, 2022 | 1 | 2022 |
Massimo PoesioProfessor of Comp. Linguistics, Queen Mary University / Professor of NLP, University of Utrecht在 qmul.ac.uk 的电子邮件经过验证
