Retrievability Bias Estimation Using Synthetically Generated Queries

Author:

Abolghasemi Amin1ORCID,Verberne Suzan1ORCID,Askari Arian1ORCID,Azzopardi Leif2ORCID

Affiliation:

1. Leiden University, Leiden, Netherlands

2. University of Strathclyde, Glasgow, United Kingdom

Funder

DoSSIER project under European Union?s Horizon 2020 research and innovation program, Marie Sk?odowska- Curie grant agreement

Publisher

ACM

Reference32 articles.

1. On the Interpolation of Contextualized Term-based Ranking with BM25 for Query-by-Example Retrieval

2. Arian Askari , Mohammad Aliannejadi , Evangelos Kanoulas , and Suzan Verberne . 2023 . A Test Collection of Synthetic Documents for Training Rankers: ChatGPT vs . Human Experts. In The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023). ACM. Arian Askari, Mohammad Aliannejadi, Evangelos Kanoulas, and Suzan Verberne. 2023. A Test Collection of Synthetic Documents for Training Rankers: ChatGPT vs. Human Experts. In The 32nd ACM International Conference on Information and Knowledge Management (CIKM 2023). ACM.

3. Retrievability

4. Payal Bajaj , Daniel Campos , Nick Craswell , Li Deng , Jianfeng Gao , Xiaodong Liu , Rangan Majumder , Andrew McNamara , Bhaskar Mitra , Tri Nguyen , 2016 . MS MARCO: A human generated machine reading comprehension dataset. arXiv preprint arXiv:1611.09268 (2016). Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, et al. 2016. MS MARCO: A human generated machine reading comprehension dataset. arXiv preprint arXiv:1611.09268 (2016).

5. Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection

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