FBK-TR: Applying SVM with Multiple Linguistic Features for Cross-Level Semantic Similarity

Ngoc Phuoc An Vo, Tommaso Caselli, Octavian Popescu
<span title="">2014</span> <i title="Association for Computational Linguistics"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/aa3ggf3tbjarfj2zylzuxxqvdi" style="color: black;">Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)</a> </i> &nbsp;
Recently, the task of measuring semantic similarity between given texts has drawn much attention from the Natural Language Processing community. Especially, the task becomes more interesting when it comes to measuring the semantic 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 participating in Task 3 "Cross-Level Semantic Similarity", at SemEval 2014. We also report the results obtained
more &raquo; ... by our system, compared to the baseline and other participating systems in this task.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3115/v1/s14-2046">doi:10.3115/v1/s14-2046</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/semeval/VoCP14.html">dblp:conf/semeval/VoCP14</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/sfanj6q4drcrnjpjautxe6gvxe">fatcat:sfanj6q4drcrnjpjautxe6gvxe</a> </span>
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