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- affiliation: Queensland University of Technology
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2020 – today
- 2022
[c158]Hang Li
, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon:
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study. ECIR (1) 2022: 599-612- [c157]Shuai Wang, Harrisen Scells, Ahmed Mourad, Guido Zuccon:
Seed-Driven Document Ranking for Systematic Reviews: A Reproducibility Study. ECIR (1) 2022: 686-700 - [i18]Shengyao Zhuang, Zhihao Qiao, Guido Zuccon:
Reinforcement Online Learning to Rank with Unbiased Reward Shaping. CoRR abs/2201.01534 (2022) - [i17]Daniel Locke, Guido Zuccon:
Case law retrieval: problems, methods, challenges and evaluations in the last 20 years. CoRR abs/2202.07209 (2022) - [i16]Shengyao Zhuang, Guido Zuccon:
Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints during Training. CoRR abs/2202.12510 (2022) - [i15]Shengyao Zhuang, Guido Zuccon:
CharacterBERT and Self-Teaching for Improving the Robustness of Dense Retrievers on Queries with Typos. CoRR abs/2204.00716 (2022) - [i14]Shengyao Zhuang, Hang Li, Guido Zuccon:
Implicit Feedback for Dense Passage Retrieval: A Counterfactual Approach. CoRR abs/2204.00718 (2022) - [i13]Shuai Wang, Harrisen Scells, Justin Clark, Bevan Koopman, Guido Zuccon:
From Little Things Big Things Grow: A Collection with Seed Studies for Medical Systematic Review Literature Search. CoRR abs/2204.03096 (2022) - [i12]Shuyi Wang, Guido Zuccon:
Is Non-IID Data a Threat in Federated Online Learning to Rank? CoRR abs/2204.09272 (2022) - [i11]Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon:
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. CoRR abs/2205.00235 (2022) - [i10]Hang Li, Ahmed Mourad, Bevan Koopman, Guido Zuccon:
How does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval? CoRR abs/2205.05888 (2022) - [i9]Shengyao Zhuang, Houxing Ren, Linjun Shou, Jian Pei, Ming Gong, Guido Zuccon, Daxin Jiang:
Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation. CoRR abs/2206.10128 (2022) - 2021
- [j20]Harrisen Scells, Guido Zuccon, Bevan Koopman:
A comparison of automatic Boolean query formulation for systematic reviews. Inf. Retr. J. 24(1): 3-28 (2021) - [j19]Anton van der Vegt, Guido Zuccon, Bevan Koopman:
Do better search engines really equate to better clinical decisions? If not, why not? J. Assoc. Inf. Sci. Technol. 72(2): 141-155 (2021) - [j18]Aldo Lipani, David E. Losada, Guido Zuccon, Mihai Lupu:
Fixed-Cost Pooling Strategies. IEEE Trans. Knowl. Data Eng. 33(4): 1503-1522 (2021) - [c156]Bevan Koopman, Guido Zuccon:
Cohort-based Clinical Trial Retrieval. ADCS 2021: 3:1-3:9 - [c155]Shuai Wang, Hang Li, Harrisen Scells, Daniel Locke, Guido Zuccon:
MeSH Term Suggestion for Systematic Review Literature Search. ADCS 2021: 8:1-8:8 - [c154]Leif Azzopardi, Alistair Moffat, Paul Thomas, Guido Zuccon:
User Models, Metrics and Measures of Search: A Tutorial on the C/W/L Evaluation Framework. CHIIR 2021: 347-348 - [c153]Shuyi Wang, Shengyao Zhuang, Guido Zuccon:
Federated Online Learning to Rank with Evolution Strategies: A Reproducibility Study. ECIR (2) 2021: 134-149 - [c152]Bing Liu, Guido Zuccon, Wen Hua, Weitong Chen:
Diagnosis Ranking with Knowledge Graph Convolutional Networks. ECIR (1) 2021: 359-374 - [c151]Shengyao Zhuang, Hang Li, Guido Zuccon:
Deep Query Likelihood Model for Information Retrieval. ECIR (2) 2021: 463-470 - [c150]Shengyao Zhuang, Guido Zuccon:
Dealing with Typos for BERT-based Passage Retrieval and Ranking. EMNLP (1) 2021: 2836-2842 - [c149]Bing Liu, Harrisen Scells, Guido Zuccon, Wen Hua, Genghong Zhao:
ActiveEA: Active Learning for Neural Entity Alignment. EMNLP (1) 2021: 3364-3374 - [c148]Shuyi Wang, Bing Liu, Shengyao Zhuang, Guido Zuccon:
Effective and Privacy-preserving Federated Online Learning to Rank. ICTIR 2021: 3-12 - [c147]Shuai Wang, Shengyao Zhuang, Guido Zuccon:
BERT-based Dense Retrievers Require Interpolation with BM25 for Effective Passage Retrieval. ICTIR 2021: 317-324 - [c146]Guido Zuccon:
Session details: Session 3A - Queries. ICTIR 2021 - [c145]Le Thai Linh, Minh-Tien Nguyen, Guido Zuccon, Gianluca Demartini:
Loss-based Active Learning for Named Entity Recognition. IJCNN 2021: 1-8 - [c144]Shengyao Zhuang, Guido Zuccon:
How do Online Learning to Rank Methods Adapt to Changes of Intent? SIGIR 2021: 911-920 - [c143]Shengyao Zhuang, Guido Zuccon:
TILDE: Term Independent Likelihood moDEl for Passage Re-ranking. SIGIR 2021: 1483-1492 - [c142]Bevan Koopman, Tracey Wright, Natacha Omer, Veronica McCabe, Guido Zuccon:
Precision Medicine Search for Paediatric Oncology. SIGIR 2021: 2536-2540 - [c141]Harrisen Scells, Jimmy, Guido Zuccon:
Big Brother: A Drop-In Website Interaction Logging Service. SIGIR 2021: 2590-2594 - [c140]Kunpeng Qin, Harrisen Scells, Guido Zuccon:
PECAN: A Platform for Searching Chat Conversations. SIGIR 2021: 2610-2614 - [c139]Sebastian Cross, Ahmed Mourad, Guido Zuccon, Bevan Koopman:
Search Engines vs. Symptom Checkers: A Comparison of their Effectiveness for Online Health Advice. WWW 2021: 206-216 - [e5]Gianluca Demartini, Guido Zuccon, J. Shane Culpepper, Zi Huang, Hanghang Tong:
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021. ACM 2021, ISBN 978-1-4503-8446-9 [contents] - [i8]Shengyao Zhuang, Guido Zuccon:
Fast Passage Re-ranking with Contextualized Exact Term Matching and Efficient Passage Expansion. CoRR abs/2108.08513 (2021) - [i7]Hang Li, Ahmed Mourad, Shengyao Zhuang, Bevan Koopman, Guido Zuccon:
Pseudo Relevance Feedback with Deep Language Models and Dense Retrievers: Successes and Pitfalls. CoRR abs/2108.11044 (2021) - [i6]Shengyao Zhuang, Guido Zuccon:
Dealing with Typos for BERT-based Passage Retrieval and Ranking. CoRR abs/2108.12139 (2021) - [i5]Bing Liu, Harrisen Scells, Guido Zuccon, Wen Hua, Genghong Zhao:
ActiveEA: Active Learning for Neural Entity Alignment. CoRR abs/2110.06474 (2021) - [i4]Shuai Wang, Hang Li, Harrisen Scells, Daniel Locke, Guido Zuccon:
MeSH Term Suggestion for Systematic Review Literature Search. CoRR abs/2112.00277 (2021) - [i3]Shuai Wang, Harrisen Scells, Ahmed Mourad, Guido Zuccon:
Seed-driven Document Ranking for Systematic Reviews: A Reproducibility Study. CoRR abs/2112.04090 (2021) - [i2]Hang Li, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon:
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study. CoRR abs/2112.06400 (2021) - 2020
- [j17]Suresh Pokharel, Guido Zuccon, Xue Li, Chandra Prasetyo Utomo, Yu Li:
Temporal tree representation for similarity computation between medical patients. Artif. Intell. Medicine 108: 101900 (2020) - [c138]Suresh Pokharel, Guido Zuccon, Yu Li:
Representing EHRs with Temporal Tree and Sequential Pattern Mining for Similarity Computing. ADMA 2020: 220-235 - [c137]Suresh Pokharel, Zhenkun Shi, Guido Zuccon, Yu Li:
Discriminative Features Generation for Mortality Prediction in ICU. ADMA 2020: 324-338 - [c136]Rischan Mafrur, Mohamed A. Sharaf, Guido Zuccon:
Quality Matters: Understanding the Impact of Incomplete Data on Visualization Recommendation. DEXA (1) 2020: 122-138 - [c135]Harrisen Scells, Guido Zuccon, Bevan Koopman, Justin Clark:
A Computational Approach for Objectively Derived Systematic Review Search Strategies. ECIR (1) 2020: 385-398 - [c134]Harrisen Scells, Guido Zuccon, Bevan Koopman:
You Can Teach an Old Dog New Tricks: Rank Fusion applied to Coordination Level Matching for Ranking in Systematic Reviews. ECIR (1) 2020: 399-414 - [c133]Shengyao Zhuang, Guido Zuccon:
Counterfactual Online Learning to Rank. ECIR (1) 2020: 415-430 - [c132]Hang Li, Harrisen Scells, Guido Zuccon:
Systematic Review Automation Tools for End-to-End Query Formulation. SIGIR 2020: 2141-2144 - [c131]Charles L. A. Clarke, Saira Rizvi, Mark D. Smucker, Maria Maistro, Guido Zuccon:
Overview of the TREC 2020 Health Misinformation Track. TREC 2020 - [c130]Sebastian Cross, Hang Li, Arvin Zhuang, Ahmed Mourad, Guido Zuccon, Bevan Koopman:
IELAB for TREC Conversational Assistance Track (CAsT) 2020. TREC 2020 - [c129]Harrisen Scells, Guido Zuccon, Bevan Koopman, Justin Clark:
Automatic Boolean Query Formulation for Systematic Review Literature Search. WWW 2020: 1071-1081 - [c128]Harrisen Scells, Guido Zuccon, Mohamed A. Sharaf, Bevan Koopman:
Sampling Query Variations for Learning to Rank to Improve Automatic Boolean Query Generation in Systematic Reviews. WWW 2020: 3041-3048
2010 – 2019
- 2019
- [j16]Jimmy, Guido Zuccon, Bevan Koopman:
Payoffs and pitfalls in using knowledge-bases for consumer health search. Inf. Retr. J. 22(3-4): 350-394 (2019) - [c127]Daniel Locke, Guido Zuccon:
Towards Automatically Classifying Case Law Citation Treatment Using Neural Networks. ADCS 2019: 4:1-4:8 - [c126]Sitthichoke Subpaiboonkit, Xue Li, Xin Zhao, Harrisen Scells, Guido Zuccon:
Causality Discovery with Domain Knowledge for Drug-Drug Interactions Discovery. ADMA 2019: 632-647 - [c125]Jimmy, Guido Zuccon, Bevan Koopman, Gianluca Demartini:
Health Cards to Assist Decision Making in Consumer Health Search. AMIA 2019 - [c124]Anton H. van der Vegt, Guido Zuccon, Bevan Koopman:
Learning Inter-Sentence, Disorder-Centric, Biomedical Relationships from Medical Literature. AMIA 2019 - [c123]Leif Azzopardi, Guido Zuccon:
Building Economic Models of Human Computer Interaction. CHI Extended Abstracts 2019 - [c122]Jimmy, Guido Zuccon, Bevan Koopman, Gianluca Demartini:
Health Card Retrieval for Consumer Health Search: An Empirical Investigation of Methods. CIKM 2019: 2405-2408 - [c121]Liadh Kelly, Hanna Suominen, Lorraine Goeuriot, Mariana L. Neves, Evangelos Kanoulas, Dan Li, Leif Azzopardi, René Spijker, Guido Zuccon, Harrisen Scells, João R. M. Palotti:
Overview of the CLEF eHealth Evaluation Lab 2019. CLEF 2019: 322-339 - [c120]Liadh Kelly, Lorraine Goeuriot, Hanna Suominen, Mariana L. Neves, Evangelos Kanoulas, René Spijker, Leif Azzopardi, Dan Li, Jimmy, João R. M. Palotti, Guido Zuccon:
CLEF eHealth 2019 Evaluation Lab. ECIR (2) 2019: 267-274 - [c119]Jimmy, Guido Zuccon, Bevan Koopman, Gianluca Demartini:
Health Cards for Consumer Health Search. SIGIR 2019: 35-44 - [c118]Harrisen Scells, Guido Zuccon:
ielab at the Open-Source IR Replicability Challenge 2019. OSIRRC@SIGIR 2019: 57-61 - [c117]João R. M. Palotti, Harrisen Scells, Guido Zuccon:
TrecTools: an Open-source Python Library for Information Retrieval Practitioners Involved in TREC-like Campaigns. SIGIR 2019: 1325-1328 - [c116]Leif Azzopardi, Alistair Moffat, Paul Thomas, Guido Zuccon:
Building Economic Models and Measures of Search. SIGIR 2019: 1401-1402 - [c115]Jimmy, Guido Zuccon:
UQ IElab at TREC 2019 Decision Track. TREC 2019 - [c114]Bevan Koopman, Guido Zuccon:
WSDM 2019 Tutorial on Health Search (HS2019): A Full-Day from Consumers to Clinicians. WSDM 2019: 838-839 - [c113]Harrisen Scells, Guido Zuccon, Bevan Koopman:
Automatic Boolean Query Refinement for Systematic Review Literature Search. WWW 2019: 1646-1656 - 2018
- [j15]Bevan Koopman, Guido Zuccon, Anthony N. Nguyen, Anton Bergheim, Narelle Grayson:
Extracting cancer mortality statistics from death certificates: A hybrid machine learning and rule-based approach for common and rare cancers. Artif. Intell. Medicine 89: 1-9 (2018) - [j14]Lorraine Goeuriot, Gareth J. F. Jones, Liadh Kelly, Johannes Leveling, Mihai Lupu, João R. M. Palotti, Guido Zuccon:
An analysis of evaluation campaigns in ad-hoc medical information retrieval: CLEF eHealth 2013 and 2014. Inf. Retr. J. 21(6): 507-540 (2018) - [j13]Anton van der Vegt, Guido Zuccon, Bevan Koopman, Peter Bruza:
A task completion framework to support single-interaction IR research. J. Documentation 74(2): 289-308 (2018) - [j12]Bevan Koopman, Jack Russell, Guido Zuccon:
Task-oriented search for evidence-based medicine. Int. J. Digit. Libr. 19(2-3): 217-229 (2018) - [c112]Dilesha Seneviratne, Shlomo Geva, Guido Zuccon, Gabriela Ferraro, Magali R. G. Meireles:
Linking Patents to Knowledge Sources: A Context Matching Technique using Automatic Patent Classification. ADCS 2018: 13:1-13:4 - [c111]João R. M. Palotti, Guido Zuccon, Allan Hanbury:
MM: A new Framework for Multidimensional Evaluation of Search Engines. CIKM 2018: 1699-1702 - [c110]Harrisen Scells, Guido Zuccon:
searchrefiner: A Query Visualisation and Understanding Tool for Systematic Reviews. CIKM 2018: 1939-1942 - [c109]Jimmy, Guido Zuccon, Bevan Koopman:
QUT IElab at CLEF 2018 Consumer Health Search Task: Knowledge Base Retrieval for Consumer Health Search. CLEF (Working Notes) 2018 - [c108]Jimmy, Guido Zuccon, João R. M. Palotti, Lorraine Goeuriot, Liadh Kelly:
Overview of the CLEF 2018 Consumer Health Search Task. CLEF (Working Notes) 2018 - [c107]Hanna Suominen, Liadh Kelly, Lorraine Goeuriot, Aurélie Névéol, Lionel Ramadier, Aude Robert, Evangelos Kanoulas, René Spijker, Leif Azzopardi, Dan Li, Jimmy, João R. M. Palotti, Guido Zuccon:
Overview of the CLEF eHealth Evaluation Lab 2018. CLEF 2018: 286-301 - [c106]Jimmy, Guido Zuccon, Bevan Koopman:
Choices in Knowledge-Base Retrieval for Consumer Health Search. ECIR 2018: 72-85 - [c105]Harrisen Scells, Guido Zuccon:
Generating Better Queries for Systematic Reviews. SIGIR 2018: 475-484 - [c104]Harrisen Scells, Leif Azzopardi, Guido Zuccon, Bevan Koopman:
Query Variation Performance Prediction for Systematic Reviews. SIGIR 2018: 1089-1092 - [c103]Jimmy, Guido Zuccon, Gianluca Demartini:
On the Volatility of Commercial Search Engines and its Impact on Information Retrieval Research. SIGIR 2018: 1105-1108 - [c102]Daniel Locke, Guido Zuccon:
A Test Collection for Evaluating Legal Case Law Search. SIGIR 2018: 1261-1264 - [c101]Harrisen Scells, Daniel Locke, Guido Zuccon:
An Information Retrieval Experiment Framework for Domain Specific Applications. SIGIR 2018: 1281-1284 - [c100]Guido Zuccon, Bevan Koopman:
SIGIR 2018 Tutorial on Health Search (HS2018): A Full-day from Consumers to Clinicians. SIGIR 2018: 1391-1394 - 2017
- [j11]Mahnoosh Kholghi, Laurianne Sitbon, Guido Zuccon, Anthony N. Nguyen:
Active learning reduces annotation time for clinical concept extraction. Int. J. Medical Informatics 106: 25-31 (2017) - [j10]Mahnoosh Kholghi, Lance De Vine, Laurianne Sitbon, Guido Zuccon, Anthony N. Nguyen:
Clinical information extraction using small data: An active learning approach based on sequence representations and word embeddings. J. Assoc. Inf. Sci. Technol. 68(11): 2543-2556 (2017) - [j9]Bevan Koopman, Guido Zuccon, Peter Bruza:
What makes an effective clinical query and querier? J. Assoc. Inf. Sci. Technol. 68(11): 2557-2571 (2017) - [c99]Dilesha Seneviratne, Shlomo Geva, Guido Zuccon, Andrew Trotman:
An Initial Study of Anchor Selection in Patent Link Discovery. ADCS 2017: 10:1-10:4 - [c98]Daniel Locke, Guido Zuccon, Harrisen Scells:
Automatic Query Generation from Legal Texts for Case Law Retrieval. AIRS 2017: 181-193 - [c97]Harrisen Scells, Guido Zuccon, Bevan Koopman, Anthony Deacon, Leif Azzopardi, Shlomo Geva:
Integrating the Framing of Clinical Questions via PICO into the Retrieval of Medical Literature for Systematic Reviews. CIKM 2017: 2291-2294 - [c96]Lorraine Goeuriot, Liadh Kelly, Hanna Suominen, Aurélie Névéol, Aude Robert, Evangelos Kanoulas, René Spijker, João R. M. Palotti, Guido Zuccon:
CLEF 2017 eHealth Evaluation Lab Overview. CLEF 2017: 291-303 - [c95]Jimmy, Guido Zuccon, Bevan Koopman:
QUT ielab at CLEF 2017 e-Health IR Task: Knowledge Base Retrieval for Consumer Health Search. CLEF (Working Notes) 2017 - [c94]João R. M. Palotti, Guido Zuccon, Jimmy, Pavel Pecina, Mihai Lupu, Lorraine Goeuriot, Liadh Kelly, Allan Hanbury:
CLEF 2017 Task Overview: The IR Task at the eHealth Evaluation Lab - Evaluating Retrieval Methods for Consumer Health Search. CLEF (Working Notes) 2017 - [c93]Harrisen Scells, Guido Zuccon, Anthony Deacon, Bevan Koopman:
QUT ielab at CLEF 2017 Technology Assisted Reviews Track: Initial Experiments with Learning To Rank. CLEF (Working Notes) 2017 - [c92]Aldo Lipani, João R. M. Palotti, Mihai Lupu, Florina Piroi, Guido Zuccon, Allan Hanbury:
Fixed-Cost Pooling Strategies Based on IR Evaluation Measures. ECIR 2017: 357-368 - [c91]Daniel Locke, Guido Zuccon:
Automatic Cited Decision Retrieval: Working notes of Ielab for FIRE Legal Track Precedence Retrieval Task. FIRE (Working Notes) 2017: 80-81 - [c90]Sebastian Cross, Zak Waters, Kirsty Kitto, Guido Zuccon:
Classifying help seeking behaviour in online communities. LAK 2017: 419-423 - [c89]Aldo Lipani, Mihai Lupu, João R. M. Palotti, Guido Zuccon, Allan Hanbury:
Fixed budget pooling strategies based on fusion methods. SAC 2017: 919-924 - [c88]Bevan Koopman, Liam Cripwell, Guido Zuccon:
Generating Clinical Queries from Patient Narratives: A Comparison between Machines and Humans. SIGIR 2017: 853-856 - [c87]Harrisen Scells, Guido Zuccon, Bevan Koopman, Anthony Deacon, Leif Azzopardi, Shlomo Geva:
A Test Collection for Evaluating Retrieval of Studies for Inclusion in Systematic Reviews. SIGIR 2017: 1237-1240 - [c86]Bevan Koopman, Guido Zuccon, Jack Russell:
A Task-oriented Search Engine for Evidence-based Medicine. SIGIR 2017: 1329-1332 - [c85]Guido Zuccon, Bevan Koopman:
SIGIR 2017 Tutorial on Health Search (HS2017): A Full-day from Consumers to Clinicians. SIGIR 2017: 1415-1418 - [c84]Leif Azzopardi, Matt Crane, Hui Fang, Grant Ingersoll, Jimmy Lin, Yashar Moshfeghi, Harrisen Scells, Peilin Yang, Guido Zuccon:
The Lucene for Information Access and Retrieval Research (LIARR) Workshop at SIGIR 2017. SIGIR 2017: 1429-1430 - [e4]Bevan Koopman, Guido Zuccon, Mark James Carman:
Proceedings of the 22nd Australasian Document Computing Symposium, ADCS 2017, Brisbane, QLD, Australia, December 7-8, 2017. ACM 2017, ISBN 978-1-4503-6391-4 [contents] - 2016
- [j8]Bevan Koopman, Guido Zuccon, Peter Bruza, Laurianne Sitbon, Michael Lawley:
Information retrieval as semantic inference: a Graph Inference model applied to medical search. Inf. Retr. J. 19(1-2): 6-37 (2016) - [j7]Mahnoosh Kholghi, Laurianne Sitbon, Guido Zuccon, Anthony N. Nguyen:
Active learning: a step towards automating medical concept extraction. J. Am. Medical Informatics Assoc. 23(2): 289-296 (2016) - [c83]Mahnoosh Kholghi, Lance De Vine, Laurianne Sitbon, Guido Zuccon, Anthony N. Nguyen:
The Benefits of Word Embeddings Features for Active Learning in Clinical Information Extraction. ALTA 2016: 25-34 - [c82]Jimmy, Guido Zuccon, Bevan Koopman:
Boosting Titles does not Generally Improve Retrieval Effectiveness. ADCS 2016: 25-32 - [c81]Dinesha Chathurani Nanayakkara Wasam Uluwitige, Shlomo Geva, Guido Zuccon, Vinod Chandran, Timothy Chappell:
Effective User Relevance Feedback for Image Retrieval with Image Signatures. ADCS 2016: 49-56 - [c80]Guido Zuccon, João R. M. Palotti, Allan Hanbury:
Query Variations and their Effect on Comparing Information Retrieval Systems. CIKM 2016: 691-700 - [c79]Navid Rekabsaz, Mihai Lupu, Allan Hanbury, Guido Zuccon:
Generalizing Translation Models in the Probabilistic Relevance Framework. CIKM 2016: 711-720 - [c78]Guido Zuccon, João R. M. Palotti, Lorraine Goeuriot, Liadh Kelly, Mihai Lupu, Pavel Pecina, Henning Müller, Julie Budaher, Anthony Deacon:
The IR Task at the CLEF eHealth Evaluation Lab 2016: User-centred Health Information Retrieval. CLEF (Working Notes) 2016: 15-27 - [c77]João R. M. Palotti, Guido Zuccon, Johannes Bernhardt-Melischnig, Allan Hanbury, Lorraine Goeuriot:
Assessors Agreement: A Case Study Across Assessor Type, Payment Levels, Query Variations and Relevance Dimensions. CLEF 2016: 40-53 - [c76]Liadh Kelly, Lorraine Goeuriot, Hanna Suominen, Aurélie Névéol, João R. M. Palotti, Guido Zuccon:
Overview of the CLEF eHealth Evaluation Lab 2016. CLEF 2016: 255-266 - [c75]Guido Zuccon:
Understandability Biased Evaluation for Information Retrieval. ECIR 2016: 280-292 - [c74]