← Search

Data · dataset · 2024

Experimental Data for Document-level Relationship Extraction on Power Communication Networks

Listed in ScienceDB

Description

This data contains a total of three parts, which are:1, model core code, including model algorithm implementation and text map generation code2, experimental results, including fusion of graph convolutional networks and ontology information of the power communication network document-level relationship extraction model experimental results, ablation experimental results and parameter analysis results3、Data set, including training set and test set.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Bioinformatics and computational biology 73% · Text 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.j00133.0046412 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].anzsrc:group:3102enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (73%)
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
concepts[modality].local:modality:textenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
license_textsource · scidb cnconnector:scidb_cn@1.0.0
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title