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Named Entity Recognition in Bengali
Northern 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
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Named Entity Recognition and Named Entity Linking on Esports Contents [PDF]
Annals of computer science and information systems, 2020 Ziyu Liu +3 more
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Enhancing biomedical named entity recognition with parallel boundary detection and category classification [PDF]
BMC BioinformaticsBackground 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]
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
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Multilingual Fine-Grained Named Entity Recognition [PDF]
Computer 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
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Survey of Chinese Named Entity Recognition [PDF]
Jisuanji 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
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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
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Named entity recognition [PDF]
Proceedings 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
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Indirectly Named Entity Recognition
Journal of Computer-Assisted Linguistic Research, 2021 We define here indirectly named entities, as a term to denote multiword expressions referring to known named entities by means of periphrasis. While named entity recognition is a classical task in natural language processing, little attention has been paid to indirectly named entities and their treatment.
Kauffmann, Alexis +6 more
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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
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