Erik-Lân Do Dinh
Erik-Lân Do Dinh
doctoral researcher, Ubiquitous Knowledge Processing (UKP) Lab, Technische Universität Darmstadt
Verified email at ukp.informatik.tu-darmstadt.de
Title
Cited by
Cited by
Year
Token-level metaphor detection using neural networks
EL Do Dinh, I Gurevych
Proceedings of the Fourth Workshop on Metaphor in NLP, 28-33, 2016
262016
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
202016
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
62017
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
52018
Predicting humorousness and metaphor novelty with Gaussian process preference learning
E Simpson, EL Do Dinh, T Miller, I Gurevych
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
42019
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 34 (Supplement_1), i142-i149, 2019
32019
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
22018
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
12019
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
12015
Predicting the humorousness of tweets using gaussian process preference learning
T Miller, EL Do Dinh, E Simpson, I Gurevych
Procesamiento del Lenguaje Natural 64, 37-44, 2020
2020
Identificando el humor de tuits utilizando el aprendizaje de preferencias basado en procesos gaussianos
T Miller, I Gurevich, E Simpson, EL Do Dinh
Procesamiento del lenguaje natural, 37-44, 2020
2020
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
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
2018
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Articles 1–13