http://www.bing.com:80/search?q=Natural+Language+Processing+GraphSearch resultshttp://www.bing.com:80/s/a/rsslogo.gifhttp://www.bing.com:80/search?q=Natural+Language+Processing+GraphCopyright © 2026 Microsoft. All rights reserved. These XML results may not be used, reproduced or transmitted in any manner or for any purpose other than rendering Bing results within an RSS aggregator for your personal, non-commercial use. Any other use of these results requires express written permission from Microsoft Corporation. By accessing this web page or using these results in any manner whatsoever, you agree to be bound by the foregoing restrictions.https://www.sciencedirect.com/science/article/pii/S1746809425005452The increased prevalence of Autism Spectrum Disorder (ASD) and the urgent need for personalized treatment have highlighted the role of data science in enhancing clinicians’ capacity and treatment quality. Application of Natural Language Processing (NLP) has created new paradigms by analyzing and finding similarities between the treatment prescriptions extracted from Electronic Health Records ...Sun, 15 Mar 2026 04:20:00 GMThttps://www.sciencedirect.com/org/science/article/pii/S2635098X25000786Natural language processing with the help of large language models such as ChatGPT has become ubiquitous in many software applications and allows users to interact even with complex hardware or software in an intuitive way. The recent concepts of Self-Driving Labs and Material Acceleration Platforms stand to benefit greatly from making them more accessible to a broader scientific community ...Wed, 01 Apr 2026 12:28:00 GMThttps://www.sciencedirect.com/science/article/pii/S0926580524005363Graph-based intelligent accident hazard ontology using natural language processing for tracking, prediction, and learning Eunbin Hong a , SeungYeon Lee b , Hayoung Kim c , JeongEun Park a , Myoung Bae Seo d , June-Seong Yi a Show more Add to MendeleyFri, 03 Apr 2026 18:23:00 GMThttps://dl.acm.org/doi/10.5555/3666122.3667467We then propose Build-a-Graph Prompting and Algorithmic Prompting, two instruction-based approaches to enhance LLMs in solving natural language graph problems.Thu, 02 Apr 2026 04:05:00 GMThttps://www.cambridge.org/core/journals/natural-language-engineering/article/survey-of-graphs-in-natural-language-processing/FBD7890F0A3C7AD8C3F3C4E3582EA929Graphs are a powerful representation formalism that can be applied to a variety of aspects related to language processing. We provide an overview of how Natural Language Processing problems have been projected into the graph framework, focusing in particular on graph construction – a crucial step in modeling the data to emphasize the phenomena targeted.Mon, 19 Jan 2026 08:17:00 GMThttps://www.geeksforgeeks.org/nlp/build-a-knowledge-graph-in-nlp/A knowledge graph is a structured representation of knowledge that captures relationships and entities in a way that allows machines to understand and reason about information in the context of natural language processing. This powerful concept has gained prominence in recent years because of the frequent rise of semantic web technologies and advancements in machine learning. Knowledge graphs ...Thu, 02 Apr 2026 17:13:00 GMThttps://dl.acm.org/doi/10.1145/3447548.3470820This tutorial will cover relevant and interesting topics on applying deep learning on graph techniques to NLP, including automatic graph construction for NLP, graph representation learning for NLP, advanced GNN based models (e.g., graph2seq, graph2tree, and graph2graph) for NLP, and the applications of GNNs in various NLP tasks (e.g., machine translation, natural language generation ...Fri, 03 Apr 2026 06:13:00 GMThttps://www.ibm.com/think/topics/natural-language-processingNatural language processing (NLP) is a subfield of artificial intelligence (AI) that uses machine learning to help computers communicate with human language.Sun, 05 Apr 2026 18:07:00 GMThttps://www.researchgate.net/publication/372849317_Research_on_the_Construction_and_Application_of_Knowledge_Graph_in_the_Ceramic_Field_Based_on_Natural_Language_ProcessingResearch on the Construction and Application of Knowledge Graph in the Ceramic Field Based on Natural Language Processing January 2023Sun, 14 Jan 2024 03:16:00 GMThttps://link.springer.com/article/10.1007/s11077-024-09548-3To address the challenges outlined above, we combine natural language processing (NLP), causal mapping, and graph analytics. NLP refers to computational techniques for analyzing and representing natural language text (Liddy, 2001), and is increasingly used in the policy sciences (El-Taliawi et al., 2021; Goyal & Howlett, 2019, 2021).Fri, 03 Apr 2026 09:19:00 GMT