This paper provides an empirical analysis of both the datasets and the lexical resources that are commonly used in text-to-text inference tasks (e.g. textual entailment, semantic similarity). According to the analysis, we define an index for the impact of a lexical resource, and we show that such index significantly correlates with the performance of a textual entailment system.

Estimating Lexical Resources Impact in Text-to-Text Inference Tasks

Magnolini, Simone;Magnini, Bernardo
2014-01-01

Abstract

This paper provides an empirical analysis of both the datasets and the lexical resources that are commonly used in text-to-text inference tasks (e.g. textual entailment, semantic similarity). According to the analysis, we define an index for the impact of a lexical resource, and we show that such index significantly correlates with the performance of a textual entailment system.
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/11582/267019
 Attenzione

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

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