David Samuel

Orcid: 0000-0003-2866-1022

According to our database1, David Samuel authored at least 18 papers between 1990 and 2023.

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Bibliography

2023
Not all layers are equally as important: Every Layer Counts BERT.
CoRR, 2023

Mean BERTs make erratic language teachers: the effectiveness of latent bootstrapping in low-resource settings.
CoRR, 2023

NorBench - A Benchmark for Norwegian Language Models.
Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023

NoCoLA: The Norwegian Corpus of Linguistic Acceptability.
Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023

BRENT: Bidirectional Retrieval Enhanced Norwegian Transformer.
Proceedings of the 24th Nordic Conference on Computational Linguistics, 2023

Trained on 100 million words and still in shape: BERT meets British National Corpus.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Tokenization with Factorized Subword Encoding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
EventGraph at CASE 2021 Task 1: A General Graph-based Approach to Protest Event Extraction.
Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2022

EventGraph: Event Extraction as Semantic Graph Parsing.
Proceedings of the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text, 2022

Direct parsing to sentiment graphs.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021
RobeCzech: Czech RoBERTa, a Monolingual Contextualized Language Representation Model.
Proceedings of the Text, Speech, and Dialogue - 24th International Conference, 2021

ÚFAL at MultiLexNorm 2021: Improving Multilingual Lexical Normalization by Fine-tuning ByT5.
Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

2020
A2Cloud-RF: A random forest based statistical framework to guide resource selection for high-performance scientific computing on the cloud.
Concurr. Comput. Pract. Exp., 2020

A2Cloud-cc: A Machine Learning Council to Guide Cloud Resource Selection for Scientific Applications.
Proceedings of the 19th IEEE International Symposium on Network Computing and Applications, 2020

Meta-Learning Extractors for Music Source Separation.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

ÚFAL at MRP 2020: Permutation-invariant Semantic Parsing in PERIN.
Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing, 2020

2019
Composing Multi-Instrumental Music with Recurrent Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2019

1990
Computing the external geodesic diameter of a simple polygon.
Computing, 1990


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