1,721,143 research outputs found
QueriesCT17_SpacyT50_1
This is a MongoDB database that represents the query index to evaluate the effectiveness of a semantic search application (OWIM). The index consists of multisets of MeSH concepts for each query. The concepts are extracted via spacy en_core_sci__smd model and linked to MeSH via spacy entity linker. A confidence threshold of 0.50 is used during indexation proces
DocCT17_SpacyT80_02
This is a MongoDB database that represents the index for a semantic search application (OWIM). The index consists of a multiset of MeSH concepts for each document. The concepts are extracted via spacy en_core_sci_lg model and linked to MeSH via spacy entity linker. A confidence threshold of 0.8 is used during indexation process
QueriesCT17_SpacyT50_3
This is a MongoDB database that represents the index for a semantic search application (OWIM). The index consists of a multiset of MeSH concepts for each document. The concepts are extracted via spacy en_ner_bionlp13cg_md model and linked to MeSH via spacy entity linker. A confidence threshold of 0.5 is used during indexation process
QueriesCT17_SpacyT00_2
This is a MongoDB database that represents the query index to evaluate the effectiveness of a semantic search application (OWIM). The index consists of multisets of MeSH concepts for each query. The concepts are extracted via spacy en_core_sci_lgd model and linked to MeSH via spacy entity linker. A confidence threshold of 0.00 is used during indexation proces
DocCT17_SpacyT70_03
This is a MongoDB database that represents the index for a semantic search application (OWIM). The index consists of a multiset of MeSH concepts for each document. The concepts are extracted via spacy en_ner_bionlp13cg_md model and linked to MeSH via spacy entity linker. A confidence threshold of 0.7 is used during indexation process
QueriesCT17_SpacyT50_2
This is a MongoDB database that represents the index for a semantic search application (OWIM). The index consists of a multiset of MeSH concepts for each document. The concepts are extracted via spacy en_core:sci_lg model and linked to MeSH via spacy entity linker. A confidence threshold of 0.5 is used during indexation process
Queries CT18 Spacy various thresholds
This data set comprises various query db's representing evaluation queries at: http://www.trec-cds.org/2018.html for use in OWIM
The various indexes are created with differnet Spacy threshold
DocCT17_SpacyT60_01
This is a MongoDB database that represents the index for a semantic search application (OWIM). The index consists of a multiset of MeSH concepts for each document. The concepts are extracted via spacy en_core_sci_sm model and linked to MeSH via spacy entity linker. A confidence threshold of 0.6 is used during indexation process
DocCT17_SpacyT70_01
* This index is extracted with Spacy en_core_sci_sm model and entity linker
* Code is available at: https://gitlab.com/open-workbench-for-information-management/OWIM-Semantic-IR-Index-Spacy/-/blob/b7cab4744ccba9aa51c46ed8695b893d33a808fc/DocCT17_Spacy01.p
QueriesCT17_SpacyT00_3
This is a MongoDB database that represents the query index to evaluate the effectiveness of a semantic search application (OWIM). The index consists of multisets of MeSH concepts for each query. The concepts are extracted via spacy en_ner_bionlp13cg_mdd model and linked to MeSH via spacy entity linker. A confidence threshold of 0.00 is used during indexation proces
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