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Communication Dans Un Congrès Année : 2014

HulTech: A General Purpose System for Cross-Level Semantic Similarity based on Anchor Web Counts

Résumé

This paper describes the HULTECH team participation in Task 3 of SemEval-2014. Four different subtasks are provided to the participants, who are asked to determine the semantic similarity of cross-level test pairs: paragraphto- sentence, sentence-to-phrase, phrase-toword and word-to-sense. Our system adopts a unified strategy (general purpose system) to calculate similarity across all subtasks based on word Web frequencies. For that purpose, we define ClueWeb InfoSimba, a cross-level similarity corpus-based metric. Results show that our strategy overcomes the proposed baselines and achieves adequate to moderate results when compared to other systems.
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Dates et versions

hal-01076770 , version 1 (23-10-2014)

Identifiants

  • HAL Id : hal-01076770 , version 1

Citer

José G. Moreno, Rumen Moraliyski, Asma Berrezoug, Gaël Dias. HulTech: A General Purpose System for Cross-Level Semantic Similarity based on Anchor Web Counts. 8th International Workshop on Semantic Evaluation (SemEval 2014), Aug 2014, dublin, Ireland. pp.PP305-308. ⟨hal-01076770⟩
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