HiCAL is a system for efficient high-recall retrieval with an adaptable assessing interface.
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Updated
Dec 26, 2022 - Python
HiCAL is a system for efficient high-recall retrieval with an adaptable assessing interface.
ACM-CR: A Manually Annotated Test Collection for Citation Recommendation
Towards an Understanding of Entity-Oriented Search Intents - ECIR'18
Target Type Identification for Entity-Bearing Queries - SIGIR'17
ACORDAR: A Test Collection for Ad Hoc Content-Based (RDF) Dataset Retrieval (SIGIR 2022)
German Library Indexing Collection
Generating High-Quality Query Suggestion Candidates for Task-Based Search - ECIR'18
[SIGIR 2024] ACORDAR 2.0: A Test Collection for Ad Hoc Dataset Retrieval with Densely Pooled Datasets and Question-Style Queries
CLinical Information Retrieval Evaluation Collection
Test collection for dataset search in biodiversity research (with a dataset corpus from BEF-China)
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