Naslov
TKLBLIIR: Detecting Twitter Paraphrases with TweetingJay

Autori
Karan, Mladen ; Glavaš, Goran ; Šnajder, Jan ; Dalbelo Bašić, Bojana ; Vulić, Ivan ; Moens, Marie Francine

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015) / Nakov, Preslav ; Zesch, Torsten ; Cer, Daniel ; Jurgens, David - Denver (CO) : ACL, 2015, 70-74

Skup
9th International Workshop on Semantic Evaluation (SemEval 2015)

Mjesto i datum
Denver (CO), Sjedinjene Američke Države, 31.05.2015. - 06.06.2015

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
paraphrase detection ; tweets ; semantic similarity

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA