Pregled bibliografske jedinice broj: 922344
TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble
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)
San Diego (CA), Sjedinjene Američke Države, 2016. str. 464-468 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 922344 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble
Autori
Tutek, Martin ; Sekulić, Ivan ; Gombar, Paula ; Paljak, Ivan ; Čulinović, Filip ; Boltužić, Filip ; Karan, Mladen ; Alagić, Domagoj ; Šnajder, Jan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 10th International Workshop on Semantic Evaluations (SemEval-2016)
/ - , 2016, 464-468
ISBN
978-1-941643-95-2
Skup
The 10th International Workshop on Semantic Evaluations (SemEval-2016)
Mjesto i datum
San Diego (CA), Sjedinjene Američke Države, 16.06.2016. - 17.06.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Lexical semantics ; Natural language processing ; Stance classification
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
