1. Arabzadeh , N. , Khodabakhsh , M. , and Bagheri , E . BERT-QPP: Contextualized Pre-Trained Transformers for Query Performance Prediction . Association for Computing Machinery , New York, NY, USA , 2021 , p. 2857--2861. Arabzadeh, N., Khodabakhsh, M., and Bagheri, E. BERT-QPP: Contextualized Pre-Trained Transformers for Query Performance Prediction. Association for Computing Machinery, New York, NY, USA, 2021, p. 2857--2861.
2. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics ACL;Chen Q.,2017
3. Groupwise Query Performance Prediction with BERT
4. Craswell , N. , Mitra , B. , Yilmaz , E. , and Campos , D . Overview of the TREC 2020 deep learning track. In Proceedings of the Twenty-Ninth Text REtrieval Conference, TREC 2020 ( 2020 ), vol. 1266 of NIST Special Publication. Craswell, N., Mitra, B., Yilmaz, E., and Campos, D. Overview of the TREC 2020 deep learning track. In Proceedings of the Twenty-Ninth Text REtrieval Conference, TREC 2020 (2020), vol. 1266 of NIST Special Publication.
5. Craswell , N. , Mitra , B. , Yilmaz , E. , Campos , D. , and Voorhees , E. M . Overview of the trec 2019 deep learning track , 2020 . Craswell, N., Mitra, B., Yilmaz, E., Campos, D., and Voorhees, E. M. Overview of the trec 2019 deep learning track, 2020.