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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

Tutek, Martin ; Sekulić, Ivan ; Gombar, Paula ; Paljak, Ivan ; Čulinović, Filip ; Boltužić, Filip ; Karan, Mladen ; Alagić, Domagoj ; Šnajder, Jan TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble // Proceedings of the 10th International Workshop on Semantic Evaluations (SemEval-2016). 2016. str. 464-468

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

Povezanost rada

Računarstvo, Informacijske i komunikacijske znanosti