Results 11 to 20 of about 321,295 (333)

Named Entity Recognition in Bengali

open access: yesNorthern European Journal of Language Technology, 2010
This paper reports about a multi-engine approach for the development of a Named Entity Recognition (NER) system in Bengali by combining the classifiers such as Maximum Entropy (ME), Conditional Random Field (CRF) and Support Vector Machine (SVM) with ...
Asif Ekbal, Sivaji Bandyopadhyay
doaj   +3 more sources

Named Entity Recognition and Named Entity Linking on Esports Contents [PDF]

open access: yesAnnals of computer science and information systems, 2020
Ziyu Liu   +3 more
doaj   +3 more sources

Enhancing biomedical named entity recognition with parallel boundary detection and category classification [PDF]

open access: yesBMC Bioinformatics
Background Named entity recognition is a fundamental task in natural language processing. Recognizing entities in biomedical text, known as the BioNER, is particularly crucial for cutting-edge applications.
Yu Wang   +4 more
doaj   +2 more sources

Review on Named Entity Recognition [PDF]

open access: yesJisuanji 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

Multilingual Fine-Grained Named Entity Recognition [PDF]

open access: yesComputer Science Journal of Moldova, 2023
The “MultiCoNER II Multilingual Complex Named Entity Recognition” task\footnote[1]{\url{https://multiconer.github.io}} within SemEval 2023 competition focuses on identifying complex named entities (NEs), such as the titles of creative works (e.g., songs,
Viorica-Camelia Lupancu, Adrian Iftene
doaj   +1 more source

Survey of Chinese Named Entity Recognition [PDF]

open access: yesJisuanji kexue yu tansuo, 2022
The Chinese named entity recognition (NER) task is a sub-task within the information extraction domain, where the task goal is to find, identify and classify relevant entities, such as names of people, places and organizations, from sentences given a ...
ZHAO Shan, LUO Rui, CAI Zhiping
doaj   +1 more source

Review of Chinese Named Entity Recognition Research [PDF]

open access: yesJisuanji 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

Named entity recognition [PDF]

open access: yesProceedings of the 19th international conference on Computational linguistics -, 2002
This paper presents a maximum entropy-based named entity recognizer (NER). It differs from previous machine learning-based NERs in that it uses information from the whole document to classify each word, with just one classifier. Previous work that involves the gathering of information from the whole document often uses a secondary classifier, which ...
Hai Leong Chieu, Hwee Tou Ng
openaire   +1 more source

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