Thomas Müller
Thomas Müller
Senior Applied Scientist, AWS
Verified email at - Homepage
Cited by
Cited by
TaPas: Weakly supervised table parsing via pre-training
J Herzig, PK Nowak, T Müller, F Piccinno, JM Eisenschlos
arXiv preprint arXiv:2004.02349, 2020
Efficient higher-order CRFs for morphological tagging
T Müller, H Schmid, H Schütze
Proceedings of the 2013 conference on empirical methods in natural language …, 2013
Joint Lemmatization and Morphological Tagging with Lemming
T Müller, R Cotterell, A Fraser, H Schütze
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
Understanding tables with intermediate pre-training
JM Eisenschlos, S Krichene, T Müller
Findings of the Association for Computational Linguistics, 281-296, 2020
Labeled morphological segmentation with semi-markov models
R Cotterell, T Müller, A Fraser, H Schütze
Proceedings of the Nineteenth Conference on Computational Natural Language …, 2015
Robust Morphological Tagging with Word Representations
T Müller, S Hinrich
North American Chapter of the Association for Computational Linguistics …, 2015
(Re) ranking meets morphosyntax: State-of-the-art results from the SPMRL 2013 shared task
A Björkelund, Ö Çetinoğlu, R Farkas, T Mueller, W Seeker
Proceedings of the Fourth Workshop on Statistical Parsing of Morphologically …, 2013
Introducing the ims-wrocław-szeged-cis entry at the spmrl 2014 shared task: Reranking and morpho-syntax meet unlabeled data
A Björkelund, Ö Çetinoğlu, A Falenska, R Farkas, T Mueller, W Seeker, ...
Proceedings of the First Joint Workshop on Statistical Parsing of …, 2014
Answering Conversational Questions on Structured Data without Logical Forms
T Müller, F Piccinno, M Nicosia, P Shaw, Y Altun
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
Open domain question answering over tables via dense retrieval
J Herzig, T Müller, S Krichene, JM Eisenschlos
arXiv preprint arXiv:2103.12011, 2021
MATE: Multi-view Attention for Table Transformer Efficiency
JM Eisenschlos, M Gor, T Müller, WW Cohen
arXiv preprint arXiv:2109.04312, 2021
Lamb: A good shepherd of morphologically rich languages
S Ebert, T Müller, H Schütze
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
A comparative investigation of morphological language modeling for the languages of the European Union
T Müller, H Schütze, H Schmid
Proceedings of the 2012 Conference of the North American Chapter of the …, 2012
Few-shot learning with siamese networks and label tuning
T Müller, G Pérez-Torró, M Franco-Salvador
arXiv preprint arXiv:2203.14655, 2022
Improved modeling of out-of-vocabulary words using morphological classes
T Müller, H Schütze
Proceedings of the 49th Annual Meeting of the Association for Computational …, 2011
TAPAS at SemEval-2021 Task 9: Reasoning over tables with intermediate pre-training
T Müller, JM Eisenschlos, S Krichene
arXiv preprint arXiv:2104.01099, 2021
UPV-Symanto at eRisk 2021: Mental Health Author Profiling for Early Risk Prediction on the Internet.
A Basile, M Chinea-Rios, AS Uban, T Müller, L Rössler, S Yenikent, ...
CLEF (Working Notes), 908-927, 2021
DoT: An efficient Double Transformer for NLP tasks with tables
S Krichene, T Müller, JM Eisenschlos
arXiv preprint arXiv:2106.00479, 2021
Dependency parsing with latent refinements of part-of-speech tags
T Müller, R Farkas, A Judea, H Schmid, H Schütze
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
Active Few-Shot Learning with FASL
T Müller, G Pérez-Torró, A Basile, M Franco-Salvador
arXiv preprint arXiv:2204.09347, 2022
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