A survey on deep learning for named entity recognition

J Li, A Sun, J Han, C Li - IEEE transactions on knowledge and …, 2020 - ieeexplore.ieee.org
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 …

Named entity recognition and relation extraction: State-of-the-art

Z Nasar, SW Jaffry, MK Malik - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
With the advent of Web 2.0, there exist many online platforms that result in massive textual-
data production. With ever-increasing textual data at hand, it is of immense importance to …

A survey on recent advances in named entity recognition from deep learning models

V Yadav, S Bethard - ar** machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

Named entity extraction for knowledge graphs: A literature overview

T Al-Moslmi, MG Ocaña, AL Opdahl, C Veres - IEEE Access, 2020 - ieeexplore.ieee.org
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 …