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 recognition: fallacies, challenges and opportunities
Named Entity Recognition serves as the basis for many other areas in Information
Management. However, it is unclear what the meaning of Named Entity is, and yet there is a …
Management. However, it is unclear what the meaning of Named Entity is, and yet there is a …
[KİTAP][B] The text mining handbook: advanced approaches in analyzing unstructured data
Text mining is a new and exciting area of computer science research that tries to solve the
crisis of information overload by combining techniques from data mining, machine learning …
crisis of information overload by combining techniques from data mining, machine learning …
Using text processing techniques to automatically enrich a domain ontology
Though the utility of domain Ontologies is now widely acknowledged in an increasing
number of domains, several barriers must be overcome before Ontologies become practical …
number of domains, several barriers must be overcome before Ontologies become practical …
Named entity recognition of building construction defect information from text with linguistic noise
Neither traditional rule-based named entity recognition (NER) nor the latest language
models perform well in information extraction from noisy text—the text that contains linguistic …
models perform well in information extraction from noisy text—the text that contains linguistic …
A review on method entities in the academic literature: Extraction, evaluation, and application
In scientific research, the method is an indispensable means to solve scientific problems and
a critical research object. With the advancement of sciences, many scientific methods are …
a critical research object. With the advancement of sciences, many scientific methods are …
Using the full-text content of academic articles to identify and evaluate algorithm entities in the domain of natural language processing
Y Wang, C Zhang - Journal of informetrics, 2020 - Elsevier
In the era of big data, the advancement, improvement, and application of algorithms in
academic research have played an important role in promoting the development of different …
academic research have played an important role in promoting the development of different …
Named entity recognition in natural language processing: A systematic review
The enormous growth and availability of data poses a great challenge for extracting useful
information from documents written in natural language. The information extraction task has …
information from documents written in natural language. The information extraction task has …
[PDF][PDF] Using machine learning to maintain rule-based named-entity recognition and classification systems
This paper presents a method that assists in maintaining a rule-based named-entity
recognition and classification system. The underlying idea is to use a separate system …
recognition and classification system. The underlying idea is to use a separate system …
Named entity recognition using deep learning: A review
The Recurrent neural network (RNN) has reported impressive performance on processing
requirements in sequence labeling tasks. RNN can recall previously series knowledge and …
requirements in sequence labeling tasks. RNN can recall previously series knowledge and …