9 citations · 9 across the 1 of their papers we have counts for
3 papers
Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning
Tristan Miller, Erik-Lân Do Dinh, Edwin Simpson +1
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…
EELECTION at SemEval-2017 Task 10: Ensemble of nEural Learners for kEyphrase ClassificaTION
Steffen Eger, Erik-Lân Do Dinh, Ilia Kuznetsov +2
This paper describes our approach to the SemEval 2017 Task 10: "Extracting Keyphrases and Relations from Scientific Publications", specifically to Subtask (B): "Classification of i…
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 +1
We analyze the performance of encoder-decoder neural models and compare them with well-known established methods. The latter represent different classes of traditional approaches t…