Silviu Paun
Title
Cited by
Cited by
Year
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
252018
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
202019
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
122018
Crowdsourcing and aggregating nested markable annotations
C Madge, J Yu, J Chamberlain, U Kruschwitz, S Paun, M Poesio
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
52019
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
22019
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
12020
Aggregating and Learning from Multiple Annotators
S Paun, E Simpson
EACL 2021, 6, 2021
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
2020
Proceedings of the First Workshop on Aggregating and Analysing Crowdsourced Annotations for NLP
S Paun, D Hovy
Proceedings of the First Workshop on Aggregating and Analysing Crowdsourced …, 2019
2019
A Mention-Pair Model of Annotation with Nonparametric User Communities
S Paun, J Yu, J Chamberlain, U Kruschwitz, M Poesio
2019
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Articles 1–10