Cross Level Semantic Similarity

task ID: crosslevelsemanticsimilarity

Related Papers

ECNU: Leveraging on Ensemble of Heterogeneous Features and Information Enrichment for Cross Level Semantic Similarity Estimation

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

This paper reports our submissions to the Cross Level Semantic Similarity (CLSS) task in SemEval 2014. We submitted one Random Forest regression system on each cross level text pair, i.e., …...

22849

Meerkat Mafia: Multilingual and Cross-Level Semantic Textual Similarity Systems

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

We describe UMBC’s systems developed for the SemEval 2014 tasks on Multi- lingual Semantic Textual Similarity (Task 10) and Cross-Level Semantic Similarity (Task 3). Our best submission in the Multilingual …...

22796

SemEval-2014 Task 3: Cross-Level Semantic Similarity

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

This paper introduces a new SemEval task on Cross-Level Semantic Similarity (CLSS), which measures the degree to which the meaning of a larger linguistic item, such as a paragraph, is …...

22922

SSMT:A Machine Translation Evaluation View To Paragraph-to-Sentence Semantic Similarity

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

This paper presents the system SSMT measuring the semantic similarity between a paragraph and a sentence submitted to the SemEval 2014 task3: Cross-level Se- mantic Similarity. The special difficulty of …...

22729

TCDSCSS: Dimensionality Reduction to Evaluate Texts of Varying Lengths - an IR Approach

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

This paper provides system description of the cross-level semantic similarity task for the SEMEVAL-2014 workshop. Cross- level semantic similarity measures the de- gree of relatedness between texts of vary- ing …...

22727

UNIBA: Combining Distributional Semantic Models and Word Sense Disambiguation for Textual Similarity

Authors: nan

Publication: TIPSTER (2014)

DOI: nan

This paper describes the UNIBA team participation in the Cross-Level Semantic Similarity task at SemEval 2014. We pro- pose to combine the output of different se- mantic similarity measures which …...

22668