Automatic Key-phrase Extraction to Support the Understanding of Infrastructure Disaster Resilience

2019 ◽  
Author(s):  
Xuan Lv ◽  
Syed Ahnaf Morshed ◽  
Lu Zhang
Keyword(s):  
Disaster Resilience ◽  
Phrase Extraction ◽  
Key Phrase Extraction

Key phrase Extraction by Improving TextRank with an Integration of Word Embedding and Syntactic Information

2020 ◽  
Vol 13 ◽  
Author(s):  
Sheng Zhang ◽  
Qi Luo ◽  
Yukun Feng ◽  
Ke Ding ◽  
Daniela Gifu ◽  
...  
Keyword(s):  
Semantic Information ◽  
Performance Enhancement ◽  
Word Embedding ◽  
The Other ◽  
Test Set ◽  
Pagerank Algorithm ◽  
Phrase Extraction ◽  
Extraction Algorithm ◽  
Syntactic Information ◽  
Key Phrase Extraction

Background: As a known key phrase extraction algorithm, TextRank is an analogue of PageRank algorithm, which relied heavily on the statistics of term frequency in the manner of co-occurrence analysis. Objective: The frequency-based characteristic made it a neck-bottle for performance enhancement, and various improved TextRank algorithms were proposed in the recent years. Most of improvements incorporated semantic information into key phrase extraction algorithm and achieved improvement. Method: In this research, taking both syntactic and semantic information into consideration, we integrated syntactic tree algorithm and word embedding and put forward an algorithm of Word Embedding and Syntactic Information Algorithm (WESIA), which improved the accuracy of the TextRank algorithm. Results: By applying our method on a self-made test set and a public test set, the result implied that the proposed unsupervised key phrase extraction algorithm outperformed the other algorithms to some extent.

scholarly journals An ontology-based approach for key phrase extraction

2009 ◽  
Author(s):  
Chau Q. Nguyen ◽  
Tuoi T. Phan
Keyword(s):  
Phrase Extraction ◽  
Key Phrase Extraction

Chinese Patent Mining Based on Sememe Statistics and Key-Phrase Extraction

2007 ◽  
pp. 516-523 ◽  
Author(s):  
Bo Jin ◽  
Hong-Fei Teng ◽  
Yan-Jun Shi ◽  
Fu-Zheng Qu
Keyword(s):  
Patent Mining ◽  
Phrase Extraction ◽  
Chinese Patent ◽  
Key Phrase Extraction

Charismatic Document Clustering Through Novel K-Means Non-negative Matrix Factorization (KNMF) Algorithm Using Key Phrase Extraction

2018 ◽  
Vol 48 (3) ◽  
pp. 496-514 ◽  
Author(s):  
E. Laxmi Lydia ◽  
P. Krishna Kumar ◽  
K. Shankar ◽  
S. K. Lakshmanaprabu ◽  
R. M. Vidhyavathi ◽  
...  
Keyword(s):  
Matrix Factorization ◽  
Document Clustering ◽  
Phrase Extraction ◽  
Key Phrase Extraction ◽  
Non Negative Matrix Factorization

Automatic Key Phrase Extraction

2021 ◽  
Author(s):  
Omar Almutiry
Keyword(s):  
Phrase Extraction ◽  
Key Phrase Extraction
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