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, limiting the possibilities for exploration. We propose NLP-KG, a feature-rich system designed to . In addition to a semantic search, NLP-KG allows users to easily find survey papers that provide a ask questions about unfamiliar concepts or specific articles in NLP and obtain answers grounded in , understanding unfamiliar concepts in NLP, and finding relevant research literature. Demo, video, and code are available at: https://github.com/NLP-Knowledge-Graph/NLP-KG-WebApp . /Sebis Public Website
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recent years. Given the increasing research work in this area, several NLP-related approaches have been study in NLP, analyze recent developments in NLP, summarize our findings, and highlight directions Research Not template related Show to the right of the text Show below the text Hide nlp,publication recent years. Given the increasing research work in this area, several NLP-related approaches have been study in NLP, analyze recent developments in NLP, summarize our findings, and highlight directions
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graph,nlp,publication Publication Authors Anum Afzal Florian Matthes Research project Enterprise AI
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Language Processing Knowledge Graph (NLP-KG) The NLP knowledge graph is an approach to tackle the NLP-related topics and find relevant papers more efficiently. More here... CreateData4AI (CD4AI) ://aclanthology.org/2024.konvens-main.18 [PDF] Schopf, Tim; Matthes, Florian NLP-KG: A System for right of the text Hide knowledge graphs,mitarbeiter,nlp,people,person,sebis,staff,team,tim schopf Team