We introduce the uncertainty modeling methods we have been building for the QA text entailment module to improve the accuracy of the system. Published in: 2008 ...
Semantic approach to text entailment for question answering - new ...
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This work presents semantic based methodologies to improve the accuracy of question answering (QA) systems and focuses on the textual entailment module, ...
In this work we present semantic based methodologies to improve the accuracy ofquestion answering (QA) systems. In particular, we concentrate on the textual ...
Semantic approach to text entailment for question answering - new ...
csdl.computer.org › csdl › icci
We introduce the uncertainty modeling methods we have been building for the QA text entailment module to improve the accuracy of the system. SEMANTIC APPROACH ...
A graph-based semi-supervised learning approach for the question-answering (QA) task for ranking candidate sentences using match-scores of textual ...
Oct 22, 2019 · We propose a novel QA approach based on Recognizing Question Entailment (RQE) and we describe the QA system and resources that we built and evaluated on real ...
The Semantic Entailment task seeks to move Natural Language Processing towards Natural Language Understanding by defining its goals in terms of the meaning ...
In this paper, we take a step closer to this objective. We combine the semantic in-formation provided by different resources and extract new semantic knowledge ...
Nov 7, 2021 · The task of recognizing textual entailment (Dagan et al., 2006) requires models to predict a relation between a text T and hypothesis H; “T ...
Jun 19, 2024 · We show that semantic entropy can be used to predict many incorrect model answers and to improve question-answering accuracy by refusing to ...