Xiaolu Lu


2021

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Strong natural language query generation
Binsheng Liu | Xiaolu Lu | J. Shane Culpepper
2021 Volume 24 Issue 4-5

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Generalizing Discriminative Retrieval Models using Generative Tasks
Binsheng Liu | Hamed Zamani | Xiaolu Lu | J. Shane Culpepper
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021

2019

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A Comparative Analysis of Human and Automatic Query Variants
Binsheng Liu | Nick Craswell | Xiaolu Lu | Oren Kurland | J. Shane Culpepper
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019

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Relevance Modeling with Multiple Query Variations
Xiaolu Lu | Oren Kurland | J. Shane Culpepper | Nick Craswell | Ofri Rom
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019

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Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs
Xiaolu Lu | Soumajit Pramanik | Rishiraj Saha Roy | Abdalghani Abujabal | Yafang Wang | Gerhard Weikum
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019

2018

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RMIT at the 2018 TREC CORE Track
Rodger Benham | Luke Gallagher | Joel M. Mackenzie | Binsheng Liu | Xiaolu Lu | Falk Scholer | J. Shane Culpepper | Alistair Moffat
Proceedings of the Twenty-Seventh Text REtrieval Conference, TREC 2018, Gaithersburg, Maryland, USA, November 14-16, 2018

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Improving Search Effectiveness with Field-based Relevance Modeling
Binsheng Liu | Xiaolu Lu | Oren Kurland | J. Shane Culpepper
Proceedings of the 23rd Australasian Document Computing Symposium, ADCS 2018, Dunedin, New Zealand, December 11-12, 2018

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Towards Efficient and Effective Query Variant Generation
Rodger Benham | J. Shane Culpepper | Luke Gallagher | Xiaolu Lu | Joel M. Mackenzie
Proceedings of the First Biennial Conference on Design of Experimental Search & Information Retrieval Systems, Bertinoro, Italy, August 28-31, 2018

2017

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Can Deep Effectiveness Metrics Be Evaluated Using Shallow Judgment Pools?
Xiaolu Lu | Alistair Moffat | J. Shane Culpepper
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, Shinjuku, Tokyo, Japan, August 7-11, 2017

2016

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The effect of pooling and evaluation depth on IR metrics
Xiaolu Lu | Alistair Moffat | J. Shane Culpepper
2016 Volume 19 Issue 4

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Efficient and Effective Higher Order Proximity Modeling
Xiaolu Lu | Alistair Moffat | J. Shane Culpepper
Proceedings of the 2016 ACM on International Conference on the Theory of Information Retrieval, ICTIR 2016, Newark, DE, USA, September 12- 6, 2016

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Modeling Relevance as a Function of Retrieval Rank
Xiaolu Lu | Alistair Moffat | J. Shane Culpepper
Information Retrieval Technology - 12th Asia Information Retrieval Societies Conference, AIRS 2016, Beijing, China, November 30 - December 2, 2016, Proceedings

2015

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Improving Search using Proximity-Based Statistics
Xiaolu Lu
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, Santiago, Chile, August 9-13, 2015

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On the Cost of Extracting Proximity Features for Term-Dependency Models
Xiaolu Lu | Alistair Moffat | J. Shane Culpepper
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, CIKM 2015, Melbourne, VIC, Australia, October 19 - 23, 2015

2014

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How Effective are Proximity Scores in Term Dependency Models?
Xiaolu Lu | Alistair Moffat | J. Shane Culpepper
Proceedings of the 2014 Australasian Document Computing Symposium, ADCS 2014, Melbourne, VIC, Australia, November 27-28, 2014