Nov 8, 2015 · Textual entailment has been proposed as a unifying generic framework for modeling language variability and semantic inference in different ...
Textual entailment has been proposed as a unifying generic framework for modeling language variability and semantic inference in different Natural Language ...
Chinese Textual Entailment Recognition Enhanced with Word Embedding. https://doi.org/10.1007/978-3-319-25816-4_8 · Full text.
The experimental results show that the event semantic feature based Chinese textual entailsment recognition is effective and efficient in Chinese textual ...
The conventional Chinese word embedding model is similar to the English word embedding model in modeling text, simply uses the Chinese word or character as ...
This paper describes an improved stroke matching method for the recognition of handprinted Kanji characters. Using the stroke feature and two additional ...
Missing: Enhanced | Show results with:Enhanced
Chinese Textual Entailment Recognition Enhanced with Word Embedding · 作者 Zhichang Zhang;Dongren Yao;Yali Pang;Xiaoyong Lu · 成果类型 期刊论文 · doi · 收录情况 ...
The experimental results show that the feature on changing structure of syntactic tree is effective and efficient in Chinese textual entailment, ...
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Dec 31, 2021 · KBRTE: A Deep Learning Model for Chinese Textual Entailment Recognition Based on Synonym Expansion and Sememe Enhancement. Download PDF · Open ...
Missing: Embedding. | Show results with:Embedding.
The review aims to examine the current state of recognizing textual entailment (RTE) research and summarize the state-of-the-art methods.