About

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).

Benchmarks

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Greatest papers with code

RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information

EMNLP 2018 malllabiisc/RESIDE

In this paper, we propose RESIDE, a distantly-supervised neural relation extraction method which utilizes additional side information from KBs for improved relation extraction.

RELATIONSHIP EXTRACTION (DISTANT SUPERVISED)

Joint Bootstrapping Machines for High Confidence Relation Extraction

NAACL 2018 pgcool/Joint-Bootstrapping-Machines

Semi-supervised bootstrapping techniques for relationship extraction from text iteratively expand a set of initial seed instances.

RELATIONSHIP EXTRACTION (DISTANT SUPERVISED)

From Bag of Sentences to Document: Distantly Supervised Relation Extraction via Machine Reading Comprehension

8 Dec 2020lingyongyan/docds

By re-organizing all sentences about an entity as a document and extracting relations via querying the document with relation-specific questions, the document-based DS paradigm can simultaneously encode and exploit all sentence-level, inter-sentence-level, and entity-level evidence.

DENOISING MACHINE READING COMPREHENSION RELATIONSHIP EXTRACTION (DISTANT SUPERVISED)

RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network

18 Sep 2020ansonb/RECON

In this paper, we present a novel method named RECON, that automatically identifies relations in a sentence (sentential relation extraction) and aligns to a knowledge graph (KG).

RELATIONSHIP EXTRACTION (DISTANT SUPERVISED)