SOTAVerified

Relationship Extraction (Distant Supervised)

Relationship extraction is the task of extracting semantic relationships from a text. Extracted relationships usually occur between two or more entities of a certain type (e.g. Person, Organisation, Location) and fall into a number of semantic categories (e.g. married to, employed by, lives in).

Papers

Showing 1119 of 19 papers

TitleStatusHype
Unsupervised Word Influencer Networks from News Streams0
Utilizing Graph Measure to Deduce Omitted Entities in Paragraphs0
Clinical Relationships Extraction Techniques from Patient Narratives0
Joint Bootstrapping Machines for High Confidence Relation ExtractionCode0
From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading ComprehensionCode0
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint GraphsCode0
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side InformationCode0
Neural Relation Extraction with Selective Attention over InstancesCode0
Distant Supervision for Relation Extraction via Piecewise Convolutional Neural NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1KGPOOLP@10%92.3Unverified
2RECONP@10%87.5Unverified
3CGREP@10%84.5Unverified
4BGWAP@10%70.9Unverified
5PCNN+ATTP@10%69.4Unverified
6PCNNP@10%61.3Unverified
7REDSandTAUC0.42Unverified
8BiGRU+WLA+EWAAUC0.39Unverified
9BGRU-SETAUC0.39Unverified
#ModelMetricClaimedVerifiedStatus
1DocDSP@1000.94Unverified