Reproducibility Analysis and Enhancements for Multi-aspect Dense Retriever with Aspect Learning.

Jiafeng Guo|Henning Müller|Keping Bi|Xiaojie Sun|Xueqi Cheng|Oscar Alfonso Jiménez del Toro|Henning Müller|Jiafeng Guo|Xueqi Cheng|Oscar Alfonso Jiménez del Toro


Anthology ID:DBLP:conf/ecir/BiSGC24
Volume:Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part IV
Year:2024
Venue:European Conference on Advances in Information Retrieval (ECIR)
Publisher:Springer
Pages:194-209
URL:https://doi.org/10.1007/978-3-031-56066-8_17
DOI:https://doi.org/10.1007/978-3-031-56066-8_17
DBLP:conf/ecir/BiSGC24
BibTeX:
@inproceedings{guo-2024-reproducibility, author = {Jiafeng Guo and Henning M\"{u}ller and Keping Bi and Xiaojie Sun and Xueqi Cheng and Oscar Alfonso Jim\'{e}nez del Toro and Henning M\"{u}ller and Jiafeng Guo and Xueqi Cheng and Oscar Alfonso Jim\'{e}nez del Toro}, editor = {Nazli Goharian and Nicola Tonellotto and Yulan He and Aldo Lipani and Graham McDonald and Craig Macdonald and Iadh Ounis}, title = {{Reproducibility Analysis and Enhancements for Multi-aspect Dense Retriever with Aspect Learning}}, booktitle = {{Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part IV}}, series = {Lecture Notes in Computer Science}, volume = {14611}, pages = {194--209}, publisher = {Springer}, year = {2024}, url = {https://doi.org/10.1007/978-3-031-56066-8_17}, doi = {https://doi.org/10.1007/978-3-031-56066-8_17} }