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Sean Papay
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IMS at SemEval-2020 task 1: How low can you go? dimensionality in lexical semantic change detection
J Kaiser, D Schlechtweg, S Papay, SS Walde
arXiv preprint arXiv:2008.03164, 2020
132020
Dissecting span identification tasks with performance prediction
S Papay, R Klinger, S Padó
arXiv preprint arXiv:2010.02587, 2020
82020
Quotation detection and classification with a corpus-agnostic model
S Papay, S Padó
Proceedings of the International Conference on Recent Advances in Natural …, 2019
72019
RiQuA: a corpus of rich quotation annotation for English literary text
S Papay, S Padó
Proceedings of The 12th Language Resources and Evaluation Conference, 835-841, 2020
62020
DERE: A task and domain-independent slot filling framework for declarative relation extraction
H Adel, LAM Oberländer, S Papay, S Padó, R Klinger
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
52018
Addressing low-resource scenarios with character-aware embeddings
S Papay, S Padó, NT Vu
Proceedings of the Second Workshop on Subword/Character LEvel Models, 32-37, 2018
32018
Evaluating and improving a derivational lexicon with graph-theoretical methods
S Papay, G Lapesa, S Padó
Proceedings of the first international workshop on resources and tools for …, 2017
32017
Constraining linear-chain crfs to regular languages
S Papay, R Klinger, S Padó
arXiv preprint arXiv:2106.07306, 2021
22021
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