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Marcel Bollmann
Person information
- affiliation: University of Copenhagen, Denmark
- affiliation (PhD 2017): Ruhr University Bochum, Germany
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2020 – today
- 2023
- [i4]Heather C. Lent, Kushal Tatariya, Raj Dabre, Yiyi Chen, Marcell Fekete, Esther Ploeger, Li Zhou, Hans Erik Heje, Diptesh Kanojia
, Paul Belony, Marcel Bollmann, Loïc Grobol, Miryam de Lhoneux, Daniel Hershcovich, Michel DeGraff, Anders Søgaard, Johannes Bjerva
:
CreoleVal: Multilingual Multitask Benchmarks for Creoles. CoRR abs/2310.19567 (2023) - 2021
- [c16]Rahul Aralikatte, Héctor Ricardo Murrieta Bello, Daniel Hershcovich, Marcel Bollmann
, Anders Søgaard:
How far can we get with one GPU in 100 hours? CoAStaL at MultiIndicMT Shared Task. WAT@ACL/IJCNLP 2021: 205-211 - [c15]Marcel Bollmann, Anders Søgaard:
Error Analysis and the Role of Morphology. EACL 2021: 1887-1900 - 2020
- [c14]Marcel Bollmann
, Desmond Elliott
:
On Forgetting to Cite Older Papers: An Analysis of the ACL Anthology. ACL 2020: 7819-7827
2010 – 2019
- 2019
- [c13]Simon Flachs, Marcel Bollmann
, Anders Søgaard:
Historical Text Normalization with Delayed Rewards. ACL (1) 2019: 1614-1619 - [c12]Marcel Bollmann
, Natalia Korchagina, Anders Søgaard:
Few-Shot and Zero-Shot Learning for Historical Text Normalization. DeepLo@EMNLP-IJCNLP 2019: 104-114 - [c11]Marcel Bollmann
:
A Large-Scale Comparison of Historical Text Normalization Systems. NAACL-HLT (1) 2019: 3885-3898 - [c10]Meriem Beloucif, Ana Valeria González-Garduño, Marcel Bollmann
, Anders Søgaard:
Naive Regularizers for Low-Resource Neural Machine Translation. RANLP 2019: 102-111 - [i3]Marcel Bollmann
, Natalia Korchagina, Anders Søgaard:
Few-Shot and Zero-Shot Learning for Historical Text Normalization. CoRR abs/1903.04870 (2019) - [i2]Marcel Bollmann:
A Large-Scale Comparison of Historical Text Normalization Systems. CoRR abs/1904.02036 (2019) - 2018
- [b1]Marcel Bollmann:
Normalization of historical texts with neural network models. Ruhr University Bochum, Germany, 2018 - [c9]Marcel Bollmann
, Anders Søgaard, Joachim Bingel:
Multi-task learning for historical text normalization: Size matters. DeepLo@ACL 2018: 19-24 - 2017
- [c8]Marcel Bollmann
, Joachim Bingel, Anders Søgaard:
Learning attention for historical text normalization by learning to pronounce. ACL (1) 2017: 332-344 - 2016
- [j1]Florian Petran, Marcel Bollmann, Stefanie Dipper, Thomas Klein:
ReM: A reference corpus of Middle High German - corpus compilation, annotation, and access. J. Lang. Technol. Comput. Linguistics 31(2): 1-15 (2016) - [c7]Marcel Bollmann, Stefanie Dipper, Florian Petran:
Evaluating Inter-Annotator Agreement on Historical Spelling Normalization. LAW@ACL 2016 - [c6]Marcel Bollmann, Anders Søgaard:
Improving historical spelling normalization with bi-directional LSTMs and multi-task learning. COLING 2016: 131-139 - [i1]Marcel Bollmann, Anders Søgaard:
Improving historical spelling normalization with bi-directional LSTMs and multi-task learning. CoRR abs/1610.07844 (2016) - 2014
- [c5]Marcel Bollmann, Florian Petran, Stefanie Dipper, Julia Krasselt:
CorA: A web-based annotation tool for historical and other non-standard language data. LaTeCH@EACL 2014: 86-90 - 2013
- [c4]Marcel Bollmann:
POS Tagging for Historical Texts with Sparse Training Data. LAW@ACL 2013: 11-18 - 2012
- [c3]Marcel Bollmann, Stefanie Dipper, Julia Krasselt, Florian Petran:
Manual and semi-automatic normalization of historical spelling - case studies from Early New High German. KONVENS 2012: 342-350 - 2011
- [c2]Marcel Bollmann:
Adapting SimpleNLG to German. ENLG 2011: 133-138 - [c1]Marcel Bollmann, Florian Petran, Stefanie Dipper
:
Applying Rule-Based Normalization to Different Types of Historical Texts - An Evaluation. LTC 2011: 166-177
Coauthor Index
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last updated on 2024-04-24 22:57 CEST by the dblp team
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