Johannes Bjerva
Johannes Bjerva
Associate Professor, Department of Computer Science, Aalborg University
Verified email at - Homepage
Cited by
Cited by
The Groningen Meaning Bank
J Bos, V Basile, K Evang, NJ Venhuizen, J Bjerva
Handbook of Linguistic Annotation, 463--496, 2017
The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations
L Abzianidze, J Bjerva, K Evang, H Haagsma, R van Noord, P Ludmann, ...
EACL, 242--247, 2017
The Meaning Factory: Formal Semantics for Recognizing Textual Entailment and Determining Semantic Similarity
J Bjerva, J Bos, R van der Goot, M Nissim
SemEval 2014: International Workshop on Semantic Evaluation, 642-646, 2014
Semantic Tagging with Deep Residual Networks
J Bjerva, B Plank, J Bos
Proceedings of COLING 2016, the 26th International Conference on …, 2016
Zero-shot cross-lingual transfer with meta learning
F Nooralahzadeh, G Bekoulis, J Bjerva, I Augenstein
EMNLP 2020, 2020
The power of character n-grams in native language identification
A Kulmizev, B Blankers, J Bjerva, M Nissim, G van Noord, B Plank, ...
Proceedings of the 12th workshop on innovative use of NLP for building …, 2017
What do Language Representations Really Represent?
J Bjerva, R Östling, MH Veiga, J Tiedemann, I Augenstein
Computational Linguistics, 2019
Inducing language-agnostic multilingual representations
W Zhao, S Eger, J Bjerva, I Augenstein
arXiv preprint arXiv:2008.09112, 2020
Parameter sharing between dependency parsers for related languages
M de Lhoneux, J Bjerva, I Augenstein, A Søgaard
EMNLP, 2018
From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings
J Bjerva, I Augenstein
Will my auxiliary tagging task help? Estimating Auxiliary Tasks Effectivity in Multi-Task Learning
J Bjerva
Proceedings of the 21st Nordic Conference on Computational Linguistics …, 2017
Character-level supervision for low-resource POS tagging
K Kann, J Bjerva, I Augenstein, B Plank, A Søgaard
Proceedings of the Workshop on Deep Learning Approaches for Low-Resource NLP …, 2018
Detecting novel metaphor using selectional preference information
H Haagsma, J Bjerva
The Fourth Workshop on Metaphor in NLP, 10-17, 2016
SubjQA: A Dataset for Subjectivity and Review Comprehension
J Bjerva, N Bhutani, B Golshan, WC Tan, I Augenstein
EMNLP 2020, 2020
One Model to Rule them all: Multitask and Multilingual Modelling for Lexical Analysis
J Bjerva
arXiv preprint arXiv:1711.01100, 2017
Gronup: Groningen user profiling
MB op Vollenbroek, T Carlotto, T Kreutz, M Medvedeva, C Pool, J Bjerva, ...
CLEF, 2016
Word Embeddings Pointing the Way for Late Antiquity
J Bjerva, R Praet
9th SIGHUM Workshop on Language Technology for Cultural Heritage, Social …, 2015
Cross-lingual complex word identification with multitask learning
J Bingel, J Bjerva
Proceedings of the thirteenth workshop on innovative use of NLP for building …, 2018
Byte-based Language Identification with Deep Convolutional Networks
J Bjerva
Proceedings of the Third Workshop on NLP for Similar Languages, Varieties …, 2016
SIGTYP 2020 shared task: Prediction of typological features
J Bjerva, E Salesky, SJ Mielke, A Chaudhary, GGA Celano, EM Ponti, ...
arXiv preprint arXiv:2010.08246, 2020
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