| Date |
Topic |
Reading |
Presenter |
| 06/04 |
Relevance, diversity, and fairness |
Ruoyuan Gao and Chirag Shah: Toward creating a fairer ranking in search engine results |
Mahmoud F. Sayed |
| 06/11 |
Context-aware document term weighting |
Zhuyun Dai and Jamie Callan: Context-Aware Document Term Weighting for Ad-Hoc Search |
Suraj Nair |
| 06/18 |
Neural CLIR |
Hamed Bonab, Sheikh Muhammad Sarwar and James Allan: Training Effective Neural CLIR by Bridging the Translation Gap |
Doug Oard |
| 06/25 |
No meeting |
|
|
| 07/02 |
Curriculum learning |
Gustavo Penha and Claudia Hauff: Curriculum Learning Strategies for IR |
Petra Galuscakova |
| 07/09 |
Fairness and learning to rank |
Marco Morik, Ashudeep Singh, Jessica Hong, Thorsten Joachims: Controlling Fairness and Bias in Dynamic Learning-to-Rank |
Doug Oard |
| 07/16 |
CLIR and Evaluation |
Shuo Sun, Suzanna Sia and Kevin Duh: CLIReval: Evaluating Machine Translation as a Cross-Lingual Information Retrieval Task |
Petra Galuscakova |
| 07/23 |
No meeting |
|
|
| 07/30 |
BERT and Efficiency |
Omar Khattab and Matei Zaharia: ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT |
Doug Oard |
| 08/06 |
Reproducibility |
Timo Breuer et al.: How to Measure the Reproducibility ofSystem-oriented IR Experiments |
Mahmoud F. Sayed |
| 08/13 |
No meeting |
|
|
| 08/20 |
Dense Text Retrieval |
Lee Xiong, Chenyan Xionget et al.: Approximate Nearest Neighbor Negative ContrastiveLearning for Dense Text Retrieval |
Suraj Nair |
