In this paper we study a graph-based approach to the task of textual entailment between a Text and Hypoth- esis. The approach takes into account the full ...
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In this paper we study a graph-based approach to the task of textual entailment between a text and hypothesis. The approach takes into account the full ...
In this paper we study a graph-based approach to the task of textual entailment between a text and hypothesis. The approach takes into account the full ...
In this paper we study a graph-based approach to the task of Recognizing Textual Entailment between a Text and a Hypothesis. The approach takes into account ...
In natural language processing, textual entailment (TE), also known as natural language inference (NLI), is a directional relation between text fragments.
Textual entailment recognition is one of the basic natural language understand- ing (NLU) tasks. Understanding the meaning of sentences is a prerequisite.
Julio Javier Castillo. 2009. A Study of Machine Learning Algorithms for Recognizing Textual Entailment. In Proceedings of the Student Research Workshop, pages ...
The review aims to examine the current state of recognizing textual entailment (RTE) research and summarize the state-of-the-art methods.
Oct 6, 2020 · In this survey paper, we provide an overview of different approaches for evaluating and understanding the reasoning capabilities of NLP systems.
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Given a piece of text and a hypothesis statement, the task of textual entailment is to predict whether the hypothesis can be inferred from the text. The studies ...