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Data · dataset · 2025

Dataset for the Multi-Class Classification of Research Gap Sentences

Listed in ScienceDB

We sample the odd-numbered papers (excluding review articles and posters) from the proceedings published by IJCAI, ICML, and ACL in 2021, selecting the abstract and introduction sections as the original corpus for manual annotation of research gap sentences.

Description

The syntactic complexity indices of each research gap sentence are then calculated using L2SCA and Coh-Metrix.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Linguistics 74%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.289478 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].anzsrc:group:4704enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (74%)
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
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