Recently, the task of measuring seman- tic similarity between given texts has drawn much attention from the Natural Language Processing community. Espe- cially, the task becomes more interesting when it comes to measuring the seman- tic similarity between different-sized texts, e.g paragraph-sentence, sentence-phrase, phrase-word, etc. In this paper, we, the FBK-TR team, describe our system par- ticipating in Task 3 "Cross-Level Seman- tic Similarity", at SemEval 2014. We also report the results obtained by our system, compared to the baseline and other partic- ipating systems in this task.

FBK-TR: Applying SVM with multiple linguistic features for Cross-Level Semantic Similarity

Ngoc Phuoc An, Vo;Popescu, Octavian
2014

Abstract

Recently, the task of measuring seman- tic similarity between given texts has drawn much attention from the Natural Language Processing community. Espe- cially, the task becomes more interesting when it comes to measuring the seman- tic similarity between different-sized texts, e.g paragraph-sentence, sentence-phrase, phrase-word, etc. In this paper, we, the FBK-TR team, describe our system par- ticipating in Task 3 "Cross-Level Seman- tic Similarity", at SemEval 2014. We also report the results obtained by our system, compared to the baseline and other partic- ipating systems in this task.
9781941643242
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11582/251821
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