TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble (CROSBI ID 658104)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Tutek, Martin ; Sekulić, Ivan ; Gombar, Paula ; Paljak, Ivan ; Čulinović, Filip ; Boltužić, Filip ; Karan, Mladen ; Alagić, Domagoj ; Šnajder, Jan
engleski
TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble
This paper describes our system for the detection of stances in tweets submitted to SemEval 2016 Task 6A. The system uses an ensemble of learning algorithms, fine-tuned using a genetic algorithm. We experiment with various off-the-shelf classifiers and build our model using standard lexical and a number of task-specific features. Our system ranked 3rd among the 19 systems submitted to this task.
Lexical semantics ; Natural language processing ; Stance classification
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Podaci o prilogu
464-468.
2016.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 10th International Workshop on Semantic Evaluations (SemEval-2016)
978-1-941643-95-2
Podaci o skupu
The 10th International Workshop on Semantic Evaluations (SemEval-2016)
predavanje
16.06.2016-17.06.2016
San Diego (CA), Sjedinjene Američke Države