Page 209 - The-5th-MCAIT2021-eProceeding

based on association and similarity thesaurus. In Proceedings he European, Mediterranean & Middle Eastern
Conference on Information Systems (EMCIS), Abu Dhabi, UAE.
Lavrenko, V. & Croft , W. B. (2017). Relevance-based language models. ACM SIGIR Forum. 51(2) pp. 260-
267.
Lindén, K. & Piitulainen, J. (2004). Discovering Synonyms And Other Related Words. Proceedings of
CompuTerm 2004: 3rd International Workshop on Computational Terminology. Geneva, Switzerland. pp. 63-
70.
Mahgoub, A., Rashwan, M., Raafat, H., Zahran, M. & Fayek , M. (2014). Semantic Query Expansion For
Arabic Information Retrieval. Proceedings of the EMNLP 2014 Workshop on Arabic Natural Language
Processing (ANLP). Doha, Qatar. pp. 87-92.
Mandala, R., Tokunaga, T., & Tanaka, H. (1998). The use of WordNet in information retrieval. In Usage of
WordNet in Natural Language Processing Systems.
Maryamah, M., Arifin, A. Z., Sarno, R., & Morimoto, Y. (2019). Query expansion based on Wikipedia word
embedding and BabelNet method for searching Arabic documents. International Journal of Intelligent
Engineering & System, 12(5), 202-213.
Mikolov, T., Chen, K., Corrado, G., & Dean, J. (2013). Efficient estimation of word representations in vector
space. ICLR: Proceeding of the International Conference on Learning Representations Workshop Track.
Arizona, USA. abs/1301.3781 pp. 1301–3781.
Mikolov, T., Sutskever, I., Chen, K., Corrado, G. S., & Dean, J. (2013). Distributed representations of words
and phrases and their compositionality. In Advances in neural information processing systems (pp. 3111-3119).
Navigli, R., & Ponzetto, S. P. (2012). BabelNet: The automatic construction, evaluation and application of a
wide-coverage multilingual semantic network. Artificial intelligence, 193, 217-250.
Nwesri, A. F. A., & Alyagoubi, H. A. (2015, September). Applying Arabic stemming using query expansion.
In 2015 26th international workshop on database and expert systems applications (DEXA) (pp. 299-303). IEEE.
Pal, D., Mitra, M., & Datta, K. (2014). Improving query expansion using WordNet. Journal of the Association
for Information Science and Technology, 65(12), 2469-2478.
Pennington, J., Socher, R., & Manning, C. D. (2014, October). Glove: Global vectors for word representation.
In Proceedings of the 2014 conference on empirical methods in natural language processing (EMNLP) (pp.
1532-1543).
Raza, M. A., Mokhtar, R., & Ahmad, N. (2019). A survey of statistical approaches for query expansion.
Knowledge and information systems, 61(1), 1-25.
Raza, M. A., Mokhtar, R., Ahmad, N., Pasha, M., & Pasha, U. (2019). A taxonomy and survey of semantic
approaches for query expansion. IEEE Access, 7, 17823-17833.
Roy, D., Ganguly, D., Mitra, M., & Jones, G. J. (2016, October). Word vector compositionality based relevance
feedback using kernel density estimation. In Proceedings of the 25th ACM international on conference on
information and knowledge management (pp. 1281-1290).
Saracevic, T. (2016). The Notion Of Relevance In Information Science: Everybody Knows What Relevance Is.
But, What Is It Really? Synthesis Lectures on Information Concepts, Retrieval, and Services 8(3): i-109.
Shaalan, K., Al-Sheikh, S., & Oroumchian, F. (2012, October). Query expansion based-on similarity of terms
for improving Arabic information retrieval. In International conference on intelligent information processing
(pp. 167-176). Springer, Berlin, Heidelberg.
Singh, J., & Sharan, A. (2017). A new fuzzy logic-based query expansion model for efficient information
retrieval using relevance feedback approach. Neural Computing and Applications, 28(9), 2557-2580.
Socher, R., Lin, C. C. Y., Ng, A. Y., & Manning, C. D. (2011, January). Parsing natural scenes and natural
language with recursive neural networks. In ICML.
Vechtomova, O. (2009). Query Expansion For Information Retrieval. Dlm. Ö. M. T. e. LIU L. (pnyt.). Ed.
Encyclopedia of database systems pp. 2254-2257. Springer.
Wang, X., Lai, G. & Liu, C. (2009). Recovering Relationships Between Documentation And Source Code
Based On The Characteristics Of Software Engineering. Electronic Notes in Theoretical Computer Science 243:
121-137.
Wang, Y., Huang, H., & Feng, C. (2019). Query expansion with local conceptual word embeddings in

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