Erik-Lân Do Dinh

According to our database, Erik-Lân Do Dinh authored at least 12 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Predicting the humorousness of tweets using gaussian process preference learning.

Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych

Proces. del Leng. Natural, 2020

2019

A 'wind of change' - shaping public opinion of the Arab Spring using metaphors.

Alexandra Núñez, Malte Gerloff, Erik-Lân Do Dinh, Andrea Rapp, Petra Gehring, Iryna Gurevych

Digit. Scholarsh. Humanit., 2019

OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning.

Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych

Proceedings of the Iberian Languages Evaluation Forum co-located with 35th Conference of the Spanish Society for Natural Language Processing, 2019

Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning.

Edwin Simpson, Erik-Lân Do Dinh, Tristan Miller, Iryna Gurevych

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

One Size Fits All? A simple LSTM for non-literal token and construction-level classification.

Erik-Lân Do Dinh, Steffen Eger, Iryna Gurevych

Proceedings of the Second Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, 2018

Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor Annotations.

Erik-Lân Do Dinh, Hannah Wieland, Iryna Gurevych

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Filter and Annotate: Towards Automatic Identification of Genuine Metaphoricity.

Erik-Lân Do Dinh, Iryna Gurevych, Petra Gehring

Proceedings of the 14th IEEE International Conference on e-Science, 2018

Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection.

Erik-Lân Do Dinh, Steffen Eger, Iryna Gurevych

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

EELECTION at SemEval-2017 Task 10: Ensemble of nEural Learners for kEyphrase ClassificaTION.

Steffen Eger, Erik-Lân Do Dinh, Ilia Kuznetsov, Masoud Kiaeeha, Iryna Gurevych

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

2016

Metaphern digital - Auf dem Weg von der Annotation zur automatischen Detektion.

Erik-Lân Do Dinh, Malte Gerloff, Alexandra Núñez

Proceedings of the 3. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2016

Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks.

Carsten Schnober, Steffen Eger, Erik-Lân Do Dinh, Iryna Gurevych

Proceedings of the COLING 2016, 2016

2015

In-tool Learning for Selective Manual Annotation in Large Corpora.

Erik-Lân Do Dinh, Richard Eckart de Castilho, Iryna Gurevych

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015