Erik-Lân Do Dinh
Erik-Lân Do Dinh
doctoral researcher, Ubiquitous Knowledge Processing (UKP) Lab, Technische Universität Darmstadt
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TitleCited byYear
Token-level metaphor detection using neural networks
EL Do Dinh, I Gurevych
Proceedings of the Fourth Workshop on Metaphor in NLP, 28-33, 2016
Still not there? Comparing traditional sequence-to-sequence models to encoder-decoder neural networks on monotone string translation tasks
C Schnober, S Eger, ELD Dinh, I Gurevych
arXiv preprint arXiv:1610.07796, 2016
EELECTION at SemEval-2017 Task 10: Ensemble of nEural Learners for kEyphrase ClassificaTION
S Eger, ELD Dinh, I Kuznetsov, M Kiaeeha, I Gurevych
arXiv preprint arXiv:1704.02215, 2017
Predicting humorousness and metaphor novelty with Gaussian process preference learning
E Simpson, EL Do Dinh, T Miller, I Gurevych
Proceedings of the 57th Conference of the Association for Computational …, 2019
Weeding out conventionalized metaphors: A corpus of novel metaphor annotations
EL Do Dinh, H Wieland, I Gurevych
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
A ‘wind of change’—shaping public opinion of the Arab Spring using metaphors
A Núñez, M Gerloff, EL Do Dinh, A Rapp, P Gehring, I Gurevych
Digital Scholarship in the Humanities, 2017
OFAI–UKP at HAHA@ IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning
T Miller, EL Do Dinh, E Simpson, I Gurevych
Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2019). CEUR …, 2019
Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection
EL Do Dinh, S Eger, I Gurevych
Proceedings of the 27th International Conference on Computational …, 2018
In-tool Learning for Selective Manual Annotation in Large Corpora
EL Do Dinh, RE de Castilho, I Gurevych
Proceedings of ACL-IJCNLP 2015 System Demonstrations, 13-18, 2015
Filter and Annotate: Towards Automatic Identification of Genuine Metaphoricity
EL Do Dinh, I Gurevych, P Gehring
2018 IEEE 14th International Conference on e-Science (e-Science), 308-309, 2018
One Size Fits All? A simple LSTM for non-literal token and construction-level classification
EL Do Dinh, S Eger, I Gurevych
Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics …, 2018
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