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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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internships in the industry. Research Interests Natural Language Processing NLP Applications for from Text and Structured Knowledge The research project VeriSci aims to develop NLP solutions for the Show below the text Hide deep learning,nlp,sebis,staff Team Member E-Mail juraj.vladika [at] tum.de
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graph,nlp,publication Publication Authors Anum Afzal Florian Matthes Research project Enterprise AI
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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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Hide nlp,publication Publication File A Knowledge Graph Approach for Exploratory Search in Research
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