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… (More)
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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… (More)
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Highly Cited
2012
Highly Cited
2012
Entity Recognition (ER) is a key component of relation extraction systems and many other natural-language processing applications… (More)
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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… (More)
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Highly Cited
2008
Highly Cited
2008
Traditional Information Extraction (IE) takes a relation name and hand-tagged examples of that relation as input. Open IE is a… (More)
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Highly Cited
2007
Highly Cited
2007
MOTIVATION The discovery of regulatory pathways, signal cascades, metabolic processes or disease models requires knowledge on… (More)
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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… (More)
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Highly Cited
2005
Highly Cited
2005
We present a novel approach to relation extraction, based on the observation that the information required to assert a… (More)
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Highly Cited
2005
Highly Cited
2005
We present a new kernel method for extracting semantic relat ions between entities in natural language text, based on a generali… (More)
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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… (More)
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Highly Cited
2002
Highly Cited
2002
We present an application of kernel methods to extracting re lations from unstructured natural language sources. We introduce… (More)
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