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A comprehensive survey on automatic knowledge graph construction
Automatic knowledge graph construction aims at manufacturing structured human
knowledge. To this end, much effort has historically been spent extracting informative fact …
knowledge. To this end, much effort has historically been spent extracting informative fact …
A survey on deep learning for named entity recognition
Named entity recognition (NER) is the task to identify mentions of rigid designators from text
belonging to predefined semantic types such as person, location, organization etc. NER …
belonging to predefined semantic types such as person, location, organization etc. NER …
Named entity extraction for knowledge graphs: A literature overview
An enormous amount of digital information is expressed as natural-language (NL) text that is
not easily processable by computers. Knowledge Graphs (KG) offer a widely used format for …
not easily processable by computers. Knowledge Graphs (KG) offer a widely used format for …
Neural collective entity linking
MMEL: a joint learning framework for multi-mention entity linking
C Yang, B He, Y Wu, C **ng, L He… - Uncertainty in Artificial …, 2023 - proceedings.mlr.press
Entity linking, bridging mentions in the contexts with their corresponding entities in the
knowledge bases, has attracted wide attention due to many potential applications. Recently …
knowledge bases, has attracted wide attention due to many potential applications. Recently …
Towards holistic entity linking: Survey and directions
Abstract Entity Linking (EL) empowers Natural Language Processing applications by linking
relevant mentions found in raw textual data to precise information about what they …
relevant mentions found in raw textual data to precise information about what they …