Results 11 to 20 of about 103,682 (312)
Persian Named Entity Recognition [PDF]
2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC), 2017 Named Entity Recognition (NER) is an important natural language processing (NLP) tool for information extraction and retrieval from unstructured texts such as newspapers, blogs and emails. NER involves processing unstructured text for classification of words or expressions into relevant categories.
Dashtipour, Kia +5 more
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Dynamic Named Entity Recognition
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023 8 pages, 6 figures, SAC ...
Luiggi, Tristan +4 more
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HMM based Korean Named Entity Recognition [PDF]
Journal of Systemics, Cybernetics and Informatics, 2003 In this paper, we present a named entity recognition model for Korean Language. Named entity recognition is an essential and important process of Question Answering and Information Extraction system.
Yi-Gyu Hwang +2 more
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Named Entity recognition without gazetteers [PDF]
Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics -, 1999 It is often claimed that Named Entity recognition systems need extensive gazetteers---lists of names of people, organisations, locations, and other named entities. Indeed, the compilation of such gazetteers is sometimes mentioned as a bottleneck in the design of Named Entity recognition systems.We report on a Named Entity recognition system which ...
Mikheev, Andrei +2 more
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Nested Biomedical Named Entity Recognition [PDF]
International Journal of Intelligent Computing and Information Sciences, 2022 Named entity recognition has been regarded as an important task in natural language processing. Extracting biomedical entities such as RNAs, DNAs, cell lines, proteins, and cell types has been recognized as a challenging task.
Nagwa Badr, yasmine afify, Lobna Mady
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Named Entity Recognition of Wheat Diseases and Pests Fusing ALBERT and Rules [PDF]
Jisuanji kexue yu tansuo, 2023 Named entity recognition of wheat diseases and pests is a key step to building a knowledge graph. Aiming at the problems of lack of training data, complex entity structure, diverse entity types and uneven entity distribution in wheat diseases and pests ...
LIU Hebing, ZHANG Demeng, XIONG Shufeng, MA Xinming, XI Lei
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Local Feature Enhancement for Nested Entity Recognition Using a Convolutional Block Attention Module
Applied Sciences, 2023 Named entity recognition involves two main types: nested named entity recognition and flat named entity recognition. The span-based approach treats nested entities and flat entities uniformly by classifying entities on a span representation. However, the
Jinxin Deng +4 more
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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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Leveraging Entity Linking to Enhance Entity Recognition in Microblogs
Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2015 The Web of Data provides abundant knowledge wherein objects or entities are described by means of properties and their relationships with other objects or entities. This knowledge is used extensively by the research community for Information Extraction tasks such as Named Entity Recognition (NER) and Linking (NEL) to make sense of data.
MANCHANDA, PIKAKSHI +2 more
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Does semantics aid syntax? An empirical study on named entity recognition and classification
, 2022 Many researchers jointly model multiple linguistic tasks (e.g., joint modeling of named entity recognition and named entity classification and joint modeling of syntactic parsing and semantic parsing) with an implicit assumption that these individual ...
Hussain, Amir +2 more
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