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Data · dataset · 2024

Tourism Entity Relationship Extraction Dataset

Listed in ScienceDB

Based on the "China Classification Theme Vocabulary List", concept words in the tourism field were determined, such as scenic spots, tickets, cities, cuisine, etc.

Description

Using remote supervision methods, structured triplets were used to annotate tourism texts and assist in constructing a dataset of entity relationship extraction in the tourism field with scenic spots as the core. After data backtesting and manual screening verification, 7253 pieces of data were obtained, including 1006 sentences with overlapping relationships, accounting for about 14% of the dataset, with a total of 9280 entity relationship pairs.

It includes 14 relationship categories, mainly consisting of 4A and 5A level tourist attractions across the country. 

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Human geography 68%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.j00133.004229 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].anzsrc:group:4406enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (68%)
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
descriptionsource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/description
licensesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/rights
publication_datesource · scidb cnconnector:scidb_cn@1.0.0
titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title