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
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint GraphsCode0
Visualization of Clandestine Labs from Seizure Reports: Thematic Mapping and Data Mining Research Directions0
Cross-Corpus Training with TreeLSTM for the Extraction of Biomedical Relationships from Text0
Learning to Define Terms in the Software Domain0
Neural Relation Extraction via Inner-Sentence Noise Reduction and Transfer Learning0
Research Project: Text Engineering Tool for Ontological Scientometry0
Unsupervised Word Influencer Networks from News Streams0
Utilizing Graph Measure to Deduce Omitted Entities in Paragraphs0
Clinical Relationships Extraction Techniques from Patient Narratives0
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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