Abstract Knowledge graphs are a powerful concept for querying large amounts of data. These knowledge typically enormous and often not easily accessible to end-users because they require specialized in query languages such as SPARQL. Moreover, need deep understanding the structure underlying data models based on Resource Description Framework (RDF). This drawback has led development Question-Ans...

Natural Language Processing for Requirements Engineering (NLP4RE) is an area of research and development that seeks to apply natural language processing (NLP) techniques, tools, resources the requirements engineering (RE) process, support human analysts carry out various linguistic analysis tasks on textual documents, such as detecting issues, identifying key domain concepts, establishing trace...

Abstract We generate natural language explanations for a fine‐grained visual recognition task. Our fulfill two criteria. First, are class discriminative , meaning they mention attributes in an image which important to identify class. Second, relevant reflect the actual content of image. system, composed explanation sampler and phrase‐critic model, generates explanations. In addition, we demonst...

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Researchers are concentrating on more efficient communication technologies that can emulate human interactions and comprehend natural languages emotions as a result of people's growing reliance computer-assisted systems. Unstructured data, which is deemed useless, has increased due to the issue information overload in every industry, including business, healthcare, education, etc. In this conte...