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Relationship extraction

Known as: Relation extraction 
A relationship extraction task requires the detection and classification of semantic relationship mentions within a set of artifacts, typically from… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2017
Review
2017
Knowledge graph (KG) embedding is to embed components of a KG including entities and relations into continuous vector spaces, so… Expand
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Highly Cited
2013
Highly Cited
2013
We consider the problem of embedding entities and relationships of multi-relational data in low-dimensional vector spaces. Our… Expand
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Highly Cited
2012
Highly Cited
2012
Distant supervision for relation extraction (RE) -- gathering training data by aligning a database of facts with text -- is an… Expand
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Highly Cited
2010
Highly Cited
2010
Several recent works on relation extraction have been applying the distant supervision paradigm: instead of relying on annotated… Expand
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Highly Cited
2009
Highly Cited
2009
Modern models of relation extraction for tasks like ACE are based on supervised learning of relations from small hand-labeled… Expand
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Review
2008
Review
2008
The automatic extraction of information from unstructured sources has opened up new avenues for querying, organizing, and… Expand
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Highly Cited
2005
Highly Cited
2005
Extracting semantic relationships between entities is challenging. This paper investigates the incorporation of diverse lexical… Expand
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Highly Cited
2005
Highly Cited
2005
We present a new kernel method for extracting semantic relations between entities in natural language text, based on a… Expand
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Highly Cited
2004
Highly Cited
2004
We extend previous work on tree kernels to estimate the similarity between the dependency trees of sentences. Using this kernel… Expand
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Highly Cited
2003
Highly Cited
2003
We present an application of kernel methods to extracting relations from unstructured natural language sources. We introduce… Expand
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