Resolving negation and applying sentiment analysis to text-hypothesis pairs raises Arabic textual entailment accuracy on the 618-pair ArbTEDS dataset.
Building Large Arabic Multi - domain Resources for Sentiment Analysis,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
A Study of the Effect of Resolving Negation and Sentiment Analysis in Recognizing Text Entailment for Arabic
Resolving negation and applying sentiment analysis to text-hypothesis pairs raises Arabic textual entailment accuracy on the 618-pair ArbTEDS dataset.