| Token-level metaphor detection using neural networks EL Do Dinh, I Gurevych Proceedings of the Fourth Workshop on Metaphor in NLP, 28-33, 2016 | 76 | 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 | 49 | 2016 |
| 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 | 34 | 2018 |
| 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 | 33 | 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 | 12 | 2018 |
| 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 | 11 | 2017 |
| A ‘wind of change’—shaping public opinion of the Arab Spring using metaphors A Nśńez, M Gerloff, EL Do Dinh, A Rapp, P Gehring, I Gurevych Digital Scholarship in the Humanities 34 (Supplement_1), i142-i149, 2019 | 5 | 2019 |
| OFAI-UKP at HAHA@ IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning. T Miller, EL Do Dinh, E Simpson, I Gurevych IberLEF@ SEPLN, 180-190, 2019 | 5 | 2019 |
| Predicting the humorousness of tweets using gaussian process preference learning T Miller, ELD Dinh, E Simpson, I Gurevych arXiv preprint arXiv:2008.00853, 2020 | 4 | 2020 |
| 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 | 4 | 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 | 3 | 2015 |
| Identificando el humor de tuits utilizando el aprendizaje de preferencias basado en procesos gaussianos T Miller, I Gurevych, 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 |
