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.
Domaines
Traitement du texte et du document
Origine : Fichiers produits par l'(les) auteur(s)