Textual entailment

Textual entailment refers to the ability to determine whether the meaning of one text fragment can be inferred or gathered from another text fragment. It is a complex task in natural language processing and involves recognizing the framework of textual entailment. The study of textual entailment is important for various applications such as Question Answering, Information Extraction, Information Retrieval, and Text summarization.From: Emerging Trends in Engineering, Science and Technology for Society, Energy and Environment [2019], Exploring question generation in medical intelligent system using entailment [2023], Control, Mechatronics and Automation Technology [2019], Natural Language Processing [2019]

Applications of Recurrent Neural Network

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Published in Amit Kumar Tyagi, Ajith Abraham, Recurrent Neural Networks, 2023

Kusumika Krori Dutta, S. Poornima, Ramit Sharma, Deebul Nair, Paul G. Ploeger

Entailment is the directional relationship between a given pair of sentences, such that if the first sentence referred to as text is true, then the second sentence referred to as hypothesis must also be true. Hence, recognizing textual entailment (RTE) is the task to classify the directional relationship between text and hypothesis into three different categories, namely entailment, contradiction, and neutral. RTE is used in applications like machine translation evaluation, relation extraction, automatic short answer grading, and text summarization. Over the years, researchers have tried to solve the problem of RTE in several ways, but major success has been obtained by the application of deep learning. Hence, in this case, a survey of DL-based models used in the field of RTE is done.

Exploring question generation in medical intelligent system using entailment

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Published in International Journal of Computers and Applications, 2023

Aarthi Paramasivam, S. Jaya Nirmala

Textual entailment study looks at whether one text fragment can be inferred from another. The classic entailment definition by Chierchia and McConnell-Ginet [19] is ‘A T entails H if H is true in every circumstance in which T is true’. For example, Mary won the game.Mary played the game.

Textual entailment

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Applications of Recurrent Neural Network

Exploring question generation in medical intelligent system using entailment