Author:
Gabsi Imen,Kammoun Hager,Mtar Rawed,Amous Ikram
Publisher
Springer Nature Switzerland
Reference22 articles.
1. Yeke, D.: Improving document ranking with query expansion based on bert word embeddings. MS thesis. Middle East Technical University (2020)
2. Azad, H.K., Deepak, A.: A new approach for query expansion using Wikipedia and WordNet. Inform. Sci. 492, 147–163 (2019). https://doi.org/10.1016/j.ins.2019.04.019
3. Selmi, W., Hager, K., Ikram, A.: MeSH-based semantic query expansion. In: 2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA). IEEE (2018)
4. Azad, H.K., et al.: Improving query expansion using pseudo-relevant web knowledge for information retrieval. Pattern Recogn. Let. 158, 148–156 (2022)
5. Zheng, Z., et al.: BERT-QE: contextualized query expansion for document re-ranking. arXiv preprint arXiv:2009.07258 (2020)