Results 11 to 20 of about 3,266 (219)
Boosting for named entity recognition [PDF]
proceeding of the 6th conference on Natural language learning - COLING-02, 2002 This paper presents a system that applies boosting to the task of named-entity identification. The CoNLL-2002 shared task, for which the system is designed, is language-independent named-entity recognition. Using a set of features which are easily obtainable for almost any language, the presented system uses boosting to combine a set of weak ...
Dekai Wu +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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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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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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Cross-Lingual Named Entity Recognition Based on Attention and Adversarial Training
Applied Sciences, 2023 Named entity recognition aims to extract entities with specific meaning from unstructured text. Currently, deep learning methods have been widely used for this task and have achieved remarkable results, but it is often difficult to achieve better results
Hao Wang +3 more
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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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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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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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Power entity recognition based on bidirectional long short-term memory and conditional random fields
Global Energy Interconnection, 2020 With the application of artificial intelligence technology in the power industry, the knowledge graph is expected to play a key role in power grid dispatch processes, intelligent maintenance, and customer service response provision.
Zhixiang Ji +3 more
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Chinese Fine‐Grained Geological Named Entity Recognition With Rules and FLAT
Earth and Space Science, 2022 Geological named entity recognition (NER) is an essential prerequisite to realizing geological information extraction and information retrieval and is an actual means for accomplishing structured reconstruction of unstructured geological data.
Siying Chen +5 more
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