TKLBLIIR: Detecting Twitter Paraphrases with TweetingJay (CROSBI ID 625350)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Karan, Mladen ; Glavaš, Goran ; Šnajder, Jan ; Dalbelo Bašić, Bojana ; Vulić, Ivan ; Moens, Marie Francine
engleski
TKLBLIIR: Detecting Twitter Paraphrases with TweetingJay
When tweeting on a topic, Twitter users often post messages that convey the same or similar meaning. We describe TweetingJay, a system for detecting paraphrases and semantic similarity of tweets, with which we participated in Task 1 of SemEval 2015. TweetingJay uses a supervised model that combines semantic overlap and word alignment features, previously shown to be effective for detecting semantic textual similarity. TweetingJay reaches 65.9% F1-score and ranked fourth among the 18 participating systems. We additionally provide an analysis of the dataset and point to some peculiarities of the evaluation setup.
paraphrase detection ; tweets ; semantic similarity
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Podaci o prilogu
70-74.
2015.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)
Nakov, Preslav ; Zesch, Torsten ; Cer, Daniel ; Jurgens, David
Denver (CO): ACL
Podaci o skupu
9th International Workshop on Semantic Evaluation (SemEval 2015)
poster
31.05.2015-06.06.2015
Denver (CO), Sjedinjene Američke Države