Results 11 to 20 of about 321,295 (333)
Named Entity Recognition in Bengali
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
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Named Entity Recognition and Named Entity Linking on Esports Contents [PDF]
Ziyu Liu +3 more
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Span-based annotation framework for LLM-based clinical named entity recognition: development and validation using Korean emergency department notes. [PDF]
Jang EH +4 more
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Enhancing biomedical named entity recognition with parallel boundary detection and category classification [PDF]
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
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Review on Named Entity Recognition [PDF]
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
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Multilingual Fine-Grained Named Entity Recognition [PDF]
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
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Survey of Chinese Named Entity Recognition [PDF]
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
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Review of Chinese Named Entity Recognition Research [PDF]
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
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Chinese medical named entity recognition based on multimodal information fusion and hybrid attention mechanism. [PDF]
Luo Z, Che J, Ji F.
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Named entity recognition [PDF]
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
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