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:
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