Deep Learning Hard (DL-HARD) is a new annotated dataset extending TREC Deep Learning benchmark.
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Updated
Jan 9, 2022
Deep Learning Hard (DL-HARD) is a new annotated dataset extending TREC Deep Learning benchmark.
Fusion for TREC run files with popular fusion techniques
CODEC is a document and entity ranking dataset that focuses on complex essay-style topics.
Polar USC activities related to NSF Polar CyberInfrastructure program at the University of Southern California
Demo server for TREC LiveQA competition
Facilitating comprehensive and in-depth evaluation in Information Retrieval
Scripts to perform pairwise t-test on TREC run files
Metadata browser of TREC
Trec Evaluation of ranked documents retrieved by searching on ElasticSearch Index
[JBI] Effective Matching of Patients to Clinical Trials using Entity Extraction and Neural Re-ranking
Download the collection for TREC NeuCLIR Track 2022
TREC'15 CDS Competition: WSU-IR at TREC 2015 Clinical Decision Support Track: Joint Weighting of Explicit and Latent Medical Query Concepts from Diverse Sources [code]
Naive Bayes Classifier on the TREC 2006 Publich Scam Corpora
Open Information Retrieval Benchmark Framework
Programs used as a part of the TREC 2017 PM/CDS Track utilizing Python and Elasticsearch.
🔝 HW1 of Intelligent Information Retrieval MSc Course ECE@UT
A simple Lucene framework to get started with Information Retrieval experiments on TREC documents
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