This paper reports the description and scores of our system, FBK-TR, which participated at the SemEval 2014 task #1 "Evaluation of Compositional Distribu- tional Semantic Models on Full Sentences through Semantic Relatedness and Entail- ment". The system consists of two parts: one for computing semantic relatedness, based on SVM, and the other for identi- fying the entailment values on the basis of both semantic relatedness scores and entailment patterns based on verb-specific semantic frames. The system ranked 11t h on both tasks with competitive results.

FBK-TR: SVM for Semantic Relatedeness and Corpus Patterns for RTE

Popescu, Octavian;
2014

Abstract

This paper reports the description and scores of our system, FBK-TR, which participated at the SemEval 2014 task #1 "Evaluation of Compositional Distribu- tional Semantic Models on Full Sentences through Semantic Relatedness and Entail- ment". The system consists of two parts: one for computing semantic relatedness, based on SVM, and the other for identi- fying the entailment values on the basis of both semantic relatedness scores and entailment patterns based on verb-specific semantic frames. The system ranked 11t h on both tasks with competitive results.
9781941643242
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/251820
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
social impact