Graph Based Document Model and its Application in Keyphrase Extraction
Author:
Affiliation:
1. Government Engineering College Sreekrishnapuram,Department of Computer Science and Engineering,Palakkad,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9774032/9773333/09774141.pdf?arnumber=9774141
Reference34 articles.
1. TopicRank: Topic ranking for automatic keyphrase extraction;bougouin;Revue Traitement Automatique des Langues,2014
2. Single document keyphrase extraction using neighborhood knowledge;wan;Proceedings of the National Conference on Artificial Intelligence,2008
3. Key2Vec: Automatic Ranked Keyphrase Extraction from Scientific Articles using Phrase Embeddings
4. Keyphrase Extraction Using Knowledge Graphs
5. Understanding Graph Embedding Methods and Their Applications
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A novel technique using graph neural networks and relevance scoring to improve the performance of knowledge graph-based question answering systems;Journal of Intelligent Information Systems;2024-01-22
2. Managing and Retrieving Bilingual Documents Using Artificial Intelligence-Based Ontological Framework;Computational Intelligence and Neuroscience;2022-08-25
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