Results 1 to 10 of about 254,529 (285)

Named Entity Extraction for Knowledge Graphs: A Literature Overview

IEEE Access, 2020
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 representing information in computer-processable form. Natural Language
Tareq Al-Moslmi, Marc Gallofre Ocana, Andreas L. Opdahl, Csaba Veres   +3 more
doaj   +3 more sources

Evaluating Natural Language Processing and Named Entity Recognition for Bioarchaeological Data Reuse

Heritage
Bioarchaeology continues to generate growing volumes of data from finite and often destructively sampled resources, making data reusability critical according to FAIR principles (Findable, Accessible, Interoperable, Reusable) and CARE (Collective Benefit,
Alphaeus Lien-Talks
doaj   +2 more sources

Review on Named Entity Recognition [PDF]

Jisuanji kexue yu tansuo, 2022
In the field of natural language processing, named entity recognition is the first key step of information extraction. Named entity recognition task aims to recognize named entities from a large number of unstructured texts and classify them into ...
LI Dongmei, LUO Sisi, ZHANG Xiaoping, XU Fu
doaj   +1 more source

Review of Chinese Named Entity Recognition Research [PDF]

Jisuanji kexue yu tansuo, 2023
With the rapid development of related technologies in the field of natural language processing, as an upstream task of natural language processing, improving the accuracy of named entity recognition is of great significance for subsequent text processing
WANG Yingjie, ZHANG Chengye, BAI Fengbo, WANG Zumin, JI Changqing
doaj   +1 more source

Artificial intelligence in healthcare text processing: a review applied to named entity recognition

Frontiers in Artificial Intelligence
ContextTraditional methods such as rule-based systems, word embeddings (e.g. Word2Vec, GloVe) and sequence tagging models such as CRFs and HMMs have difficulty capturing the complex and nuanced context of medical texts, leading to low precision and ...
Samuel Santana de Almeida, Raphael Silva Fontes, Luca Pareja Credidio Freire Alves, Methanias Colaço Júnior, Methanias Colaço Júnior, Methanias Colaço Júnior, Gleyson José Pinheiro Caldeira Silva, Lyane Ramalho Cortez, Antonio Higor Freire de Morais, Guilherme Medeiros Machado, Hugo Gonçalo Oliveira, Aliete Cunha-Oliveira, João Paulo Queiroz dos Santos, Ricardo Alexsandro de Medeiros Valentim   +13 more
doaj   +2 more sources

Improving Neural Language Processing with Named Entities

Proceedings of the Conference Recent Advances in Natural Language Processing - Deep Learning for Natural Language Processing Methods and Applications, 2021
Pretraining-based neural network models have demonstrated state-of-the-art (SOTA) performances on natural language processing (NLP) tasks. The most frequently used sentence representation for neural-based NLP methods is a sequence of subwords that is different from the sentence representation of non-neural methods that are created using basic NLP ...
Kyoumoto Matsushita, Takuya Makino, Tomoya Iwakura   +2 more
openaire   +1 more source

ANEC: An Amharic Named Entity Corpus and Transformer Based Recognizer

IEEE Access, 2023
Named Entity Recognition is an information extraction task that serves as a pre-processing step for other natural language processing tasks, such as machine translation, information retrieval, and question answering.
Ebrahim Chekol Jibril, A. Cuneyd Tantug
doaj   +1 more source

Automated Construction Specification Review with Named Entity Recognition Using Natural Language Processing [PDF]

Journal of Construction Engineering and Management, 2021
AbstractWhen bidding on construction projects, contractors need to understand the specifications properly to manage project risks.
Seonghyeon Moon, Gitaek Lee, Seokho Chi, Hyunchul Oh   +3 more
openaire   +1 more source

Multi-Domain Named Entity Recognition for Robotic Process Automation

Proceedings of the Annual Hawaii International Conference on System Sciences, 2023
To make Robotic Process Automation more attractive, it needs to become more ``intelligent''. In this context, a modification of the Form-to-Rule approach, based on identifying data types of form fields, is proposed. Moreover, multi-domain named entity recognition is used, for field value identification.
Ganzha, Maria, Denisiuk, Aleksander, Sowiński, Piotr, Wasielewska-Michniewska, Katarzyna, Paprzycki, Marcin   +4 more
openaire   +2 more sources

Using the PubAnnotation ecosystem to perform agile text mining on : a tutorial review [PDF]

Genomics & Informatics, 2020
The prototype version of the full-text corpus of Genomics & Informatics has recently been archived in a GitHub repository. The full-text publications of volumes 10 through 17 are also directly downloadable from PubMed Central (PMC) as XML files.
Hee-Jo Nam, Ryota Yamada, Hyun-Seok Park
doaj   +1 more source