7 Hits in 5.0 sec

UQ at the TREC 2019 News Track

Vu Anh Le, Gianluca Demartini
2019 Text Retrieval Conference  
Introduction The Data Science research group at the University of Queensland participated to the TREC 2019 News Track by submitting 5 runs for the Entity Ranking task.  ...  Methods In this section we describe the approach used to produce five runs for the TREC 2019 News Track Entity Ranking task.  ... 
dblp:conf/trec/LeD19 fatcat:ksrfyjzm65gxvpbo4k5s7kidxq

UQ IElab at TREC 2019 Decision Track

Jimmy, Guido Zuccon
2019 Text Retrieval Conference  
We describe our participation to the TREC 2019 Decision Track.  ...  The first year of this track challenges participants to devise search technologies that retrieve correct health advice from web resources, with the intent to better support people's health decision making  ...  ACKNOWLEDGMENTS Jimmy is sponsored by the Indonesia Endowment Fund for Education (Lembaga Pengelola Dana Pendidikan / LPDP) (20151022014644).  ... 
dblp:conf/trec/JimmyZ19 fatcat:3qavhmx42zadraikocse7abohq

A supervised term ranking model for diversity enhanced biomedical information retrieval

Bo Xu, Hongfei Lin, Liang Yang, Kan Xu, Yijia Zhang, Dongyu Zhang, Zhihao Yang, Jian Wang, Yuan Lin, Fuliang Yin
2019 BMC Bioinformatics  
Experimental results on TREC Genomics collections demonstrate the effectiveness of the proposed model in improving the relevance and the diversity of search results.  ...  Based on the model, the most relevant and diversified terms are selected to enrich the original query.  ...  Experimental settings We evaluated the proposed framework on the retrieval collections from 2006 and 2007 TREC Genomics tracks [1, 2] .  ... 
doi:10.1186/s12859-019-3080-2 pmid:31787087 pmcid:PMC6886246 fatcat:ikcldl4fjbg5bkqatdqcyvhegy

The Impact of a Search Engine on Clinical Decisions Under Time and System Effectiveness Constraints: Research Protocol (Preprint)

Anton van der Vegt, Guido Zuccon, Bevan Koopman, Anthony Deacon
2018 JMIR Research Protocols  
All data collected in this study will be made available at the University of Queensland's UQ eSpace public data repository. DERR1-10.2196/12803.  ...  Recruiting began for the study in June 2018. As of the April 4, 2019, there were 69 participants enrolled. The study is expected to close by May 30, 2019, with results to be published in July.  ...  Also, to Harrisen Scells for his helpful technical input for the design of Taskiir and the IELab team ( at The University of Queensland for Taskiir system testing.  ... 
doi:10.2196/12803 pmid:31140437 pmcid:PMC6658292 fatcat:4lnykcshb5cublfhbhfssc55aq

Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering

Minghan Li, Ming Li, Kun Xiong, Jimmy Lin
2021 Findings of the Association for Computational Linguistics: EMNLP 2021   unpublished
The TREC-8 question answering track. In Proceed- ings of the Second International Conference on Language Resources and Evaluation (LREC’00), Athens, Greece.  ...  (i) (i) Eq. (3) w.r.t each ensemble member uq and vd for each question-answering task. 5 Experimental Setup During inference, given a new question q, We  ... 
doi:10.18653/v1/2021.findings-emnlp.26 fatcat:mt5hmja4yzahxl6jbsptjayw7m

To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers [article]

Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon
2022 pre-print
In this paper we consider the problem of combining the relevance signals from sparse and dense retrievers in the context of Pseudo Relevance Feedback (PRF).  ...  The empirical findings from our experiments suggest that, regardless of sparse representation and dense retriever, interpolation both before and after PRF achieves the highest effectiveness across most  ...  Shuai Wang is supported by a UQ Earmarked PhD Scholarship and this research is funded by the Australian Research Council Discovery Projects program ARC DP210104043.  ... 
doi:10.1145/3477495.3531884 arXiv:2205.00235v1 fatcat:pjwh4buaxjcnven6t4beuyqyiu

Decision-support systems for establishing radiata pine plantations in the central North Island of New Zealand [article]

Euan G. Mason, University Of Canterbury
Models of young radiata pine survival and size class distribution models were built for crops aged 0 to 5 years in the Central North island region of New Zealand.  ...  The basal area/ha function incorporated the allometric adjustment developed during the analysis of Nelder-design experiments in a way which resulted in compatible mean height and basal area/ha models.  ...  ACKNOWLEDGEMENTS The authors would like to thank Tasman Forestry Ltd. and the New Zealand Forest Research Institute which provided the datambase fOf, participated in,. and contributed financially to the  ... 
doi:10.26021/2932 fatcat:pwxdgg5o6vc7lakjmkpi455k6m