Seguir
Mehdi Allahyari
Mehdi Allahyari
Co-Founder, AI Researcher. Help companies operationalize LLMs
No hay ninguna dirección de correo electrónico verificada. - Página principal
Título
Citado por
Citado por
Año
A brief survey of text mining: Classification, clustering and extraction techniques
M Allahyari, S Pouriyeh, M Assefi, S Safaei, ED Trippe, JB Gutierrez, ...
arXiv preprint arXiv:1707.02919, 2017
9342017
Text Summarization Techniques: A Brief Survey
M Allahyari, S Pouriyeh, M Assefi, S Safaei, ED Trippe, JB Gutierrez, ...
International Journal of Advanced Computer Science and Applications (IJACSA …, 2017
7992017
Automatic Topic Labeling using Ontology-based Topic Models
M Allahyari, K Kochut
Machine Learning and Applications (ICMLA), 2015 14th International …, 2015
752015
Ontology-based text classification into dynamically defined topics
M Allahyari, KJ Kochut, M Janik
2014 IEEE international conference on semantic computing, 273-278, 2014
682014
ES-LDA: Entity Summarization using Knowledge-based Topic Modeling
S Pouriyeh, M Allahyari, K Kochut, G Cheng, HR Arabnia
International Joint Conference on Natural Language Processing (IJCNLP 2017 …, 2017
392017
A Knowledge-based Topic Modeling Approach for Automatic Topic Labeling
M Allahyari, S Pouriyeh, K Kochut, HR Arabnia
International Journal of Advanced Computer Science and Applications (IJACSA …, 2017
382017
Semantic tagging using topic models exploiting Wikipedia category network
M Allahyari, K Kochut
2016 IEEE Tenth International Conference on Semantic Computing (ICSC), 63-70, 2016
352016
A brief survey of text mining: classification, clustering and extraction techniques. 2017
M Allahyari, S Pouriyeh, M Assefi, S Safaei, ED Trippe, JB Gutierrez, ...
Preprint at https://a rxiv. org/abs/1707.02919, 0
30*
Discovering Coherent Topics with Entity Topic Models
M Allahyari, K Kochut
2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 26-33, 2016
272016
Semantic context-aware recommendation via topic models leveraging linked open data
M Allahyari, K Kochut
Web Information Systems Engineering–WISE 2016: 17th International Conference …, 2016
272016
A vision for health informatics: Introducing the sked framework. an extensible architecture for scientific knowledge extraction from data
ED Trippe, JB Aguilar, YH Yan, MV Nural, JA Brady, M Assefi, S Safaei, ...
arXiv preprint arXiv:1706.07992, 2017
222017
Ontology summarization: Graph-based methods and beyond
S Pouriyeh, M Allahyari, Q Liu, G Cheng, HR Arabnia, M Atzori, ...
International Journal of Semantic Computing 13 (02), 259-283, 2019
212019
Combining Word Embedding and Knowledge-Based Topic Modeling for Entity Summarization
S Pouriyeh, M Allahyari, K Kochut, G Cheng, HR Arabnia
The 12th IEEE International Conference on Semantic Computing (ICSC 2018), 2018
212018
Text summarization techniques: a brief survey (2017)
M Allahyari, S Pouriyeh, M Assefi, S Safaei, ED Trippe, JB Gutierrez, ...
arXiv preprint arXiv:1707.02268, 0
21
A broad evaluation of the tor english content ecosystem
M Zabihimayvan, R Sadeghi, D Doran, M Allahyari
Proceedings of the 10th ACM Conference on Web Science, 333-342, 2019
202019
A brief survey of text mining: Classification, clustering and extraction techniques. arXiv
M Allahyari, S Pouriyeh, M Assefi, S Safaei, ED Trippe, JB Gutierrez, ...
arXiv preprint arXiv:1707.02919, 2017
162017
Eaglebot: A chatbot based multi-tier question answering system for retrieving answers from heterogeneous sources using BERT
M Rana
142019
A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques. ArXiv e-prints (2017)
M Allahyari, S Pouriyeh, M Assefi, S Safaei, ED Trippe, JB Gutierrez, ...
arXiv preprint arXiv:1707.02919, 2017
142017
A comprehensive survey of ontology summarization: measures and methods
S Pouriyeh, M Allahyari, K Kochut, HR Arabnia
arXiv preprint arXiv:1801.01937, 2018
132018
Graph-based ontology summarization: A survey
S Pouriyeh, M Allahyari, Q Liu, G Cheng, HR Arabnia, Y Qu, K Kochut
arXiv preprint arXiv:1805.06051, 2018
72018
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20