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ORCIDErik-Lân Do Dinh
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2020 – today
- 2020
[j2]Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych:
Predicting the humorousness of tweets using gaussian process preference learning. Proces. del Leng. Natural 64: 37-44 (2020)- [i3]Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych:
OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning. CoRR abs/2008.00853 (2020)
2010 – 2019
- 2019
- [j1]Alexandra Núñez
, Malte Gerloff, Erik-Lân Do Dinh, Andrea Rapp, Petra Gehring, Iryna Gurevych:
A 'wind of change' - shaping public opinion of the Arab Spring using metaphors. Digit. Scholarsh. Humanit. 34(Supplement-1): 142-149 (2019) - [c11]Edwin Simpson, Erik-Lân Do Dinh, Tristan Miller, Iryna Gurevych:
Predicting Humorousness and Metaphor Novelty with Gaussian Process Preference Learning. ACL (1) 2019: 5716-5728 - [c10]Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych:
OFAI-UKP at HAHA@IberLEF2019: Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning. IberLEF@SEPLN 2019: 180-190 - 2018
- [c9]Erik-Lân Do Dinh, Steffen Eger, Iryna Gurevych:
Killing Four Birds with Two Stones: Multi-Task Learning for Non-Literal Language Detection. COLING 2018: 1558-1569 - [c8]Erik-Lân Do Dinh, Iryna Gurevych, Petra Gehring:
Filter and Annotate: Towards Automatic Identification of Genuine Metaphoricity. eScience 2018: 308-309 - [c7]Erik-Lân Do Dinh, Hannah Wieland, Iryna Gurevych:
Weeding out Conventionalized Metaphors: A Corpus of Novel Metaphor Annotations. EMNLP 2018: 1412-1424 - [c6]Erik-Lân Do Dinh, Steffen Eger, Iryna Gurevych:
One Size Fits All? A simple LSTM for non-literal token and construction-level classification. LaTeCH@COLING 2018: 70-80 - 2017
- [c5]Alexandra Núñez, Malte Gerloff, Erik-Lân Do Dinh, Andrea Rapp, Petra Gehring, Iryna Gurevych:
A "Wind of Change" - Shaping Public Opinion of the "Arab Spring" Using Metaphors. DH 2017 - [c4]Steffen Eger, Erik-Lân Do Dinh, Ilia Kuznetsov, Masoud Kiaeeha, Iryna Gurevych:
EELECTION at SemEval-2017 Task 10: Ensemble of nEural Learners for kEyphrase ClassificaTION. SemEval@ACL 2017: 942-946 - [i2]Steffen Eger, Erik-Lân Do Dinh, Ilia Kuznetsov, Masoud Kiaeeha, Iryna Gurevych:
EELECTION at SemEval-2017 Task 10: Ensemble of nEural Learners for kEyphrase ClassificaTION. CoRR abs/1704.02215 (2017) - 2016
- [c3]Carsten Schnober, Steffen Eger, Erik-Lân Do Dinh, Iryna Gurevych:
Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks. COLING 2016: 1703-1714 - [c2]Erik-Lân Do Dinh, Malte Gerloff, Alexandra Núñez:
Metaphern digital - Auf dem Weg von der Annotation zur automatischen Detektion. DHd 2016 - [i1]Carsten Schnober, Steffen Eger, Erik-Lân Do Dinh, Iryna Gurevych:
Still not there? Comparing Traditional Sequence-to-Sequence Models to Encoder-Decoder Neural Networks on Monotone String Translation Tasks. CoRR abs/1610.07796 (2016) - 2015
- [c1]Erik-Lân Do Dinh, Richard Eckart de Castilho, Iryna Gurevych:
In-tool Learning for Selective Manual Annotation in Large Corpora. ACL (System Demonstrations) 2015: 13-18
Coauthor Index
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