Search Results for author: Erik-Lân Do Dinh

Found 3 papers, 2 papers with code

Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning

1 code implementation3 Aug 2020 Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson, Iryna Gurevych

Most humour processing systems to date make at best discrete, coarse-grained distinctions between the comical and the conventional, yet such notions are better conceptualized as a broad spectrum.

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

1 code implementation SEMEVAL 2017 Steffen Eger, Erik-Lân Do Dinh, Ilia Kuznetsov, Masoud Kiaeeha, Iryna Gurevych

From these approaches, we created an ensemble of differently hyper-parameterized systems, achieving a micro-F1-score of 0. 63 on the test data.

General Classification

Cannot find the paper you are looking for? You can Submit a new open access paper.