Results 31 to 40 of about 254,529 (285)
Extended Overview of CLEF HIPE 2020: Named Entity Processing on Historical Newspapers
, 2020 This paper presents an extended overview of the first edition of HIPE (Identifying Historical People, Places and other Entities), a pioneering shared task dedicated to the evaluation of named entity processing on historical newspapers in French, German and English. Since its introduction some twenty years ago, named entity (NE) processing has become an
, Ehrmann +3 more
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Biomedical Flat and Nested Named Entity Recognition: Methods, Challenges, and Advances
Applied SciencesBiomedical named entity recognition (BioNER) aims to identify and classify biomedical entities (i.e., diseases, chemicals, and genes) from text into predefined classes. This process serves as an important initial step in extracting biomedical information
Yesol Park, Gyujin Son, Mina Rho
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Few-shot classification in Named Entity Recognition Task
, 2018 For many natural language processing (NLP) tasks the amount of annotated data is limited. This urges a need to apply semi-supervised learning techniques, such as transfer learning or meta-learning.
Akhundov Adnan +5 more
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MAF-CNER : A Chinese Named Entity Recognition Model Based on Multifeature Adaptive Fusion
Complexity, 2021 Named entity recognition (NER) is a subtask in natural language processing, and its accuracy greatly affects the effectiveness of downstream tasks. Aiming at the problem of insufficient expression of potential Chinese features in named entity recognition
Xuming Han +5 more
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Discrete and Continuous Models and Applied Computational Science, 2023 This article proposes an algorithm for solving the problem of extracting information from biomedical patents and scientific publications. The introduced algorithm is based on machine learning methods.
Nikolay A. Kolpakov +2 more
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Entity Recognition at First Sight: Improving NER with Eye Movement Information
, 2019 Previous research shows that eye-tracking data contains information about the lexical and syntactic properties of text, which can be used to improve natural language processing models.
Hollenstein, Nora, Zhang, Ce
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Zero-shot evaluation of ChatGPT for food named-entity recognition and linking
Frontiers in NutritionIntroductionRecognizing and extracting key information from textual data plays an important role in intelligent systems by maintaining up-to-date knowledge, reinforcing informed decision-making, question-answering, and more.
Matevž Ogrinc +3 more
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From Linguistics to Ontologies The Role of Named Entities in the Conceptualisation Process [PDF]
Proceedings of the International Conference on Knowledge Engineering and Ontology Development, 2011 Ontologies that have been built from texts can be associated with lexical information that is crucial for the semantic annotation of texts and all semantic search tasks. However, the entire pocess of building ontologies from texts cannot be fully automated and it is important to guide the knowledge engineer during the building process.
Omrane, Nouha +2 more
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Nested Named Entity Recognition via an Independent-Layered Pretrained Model
IEEE Access, 2021 When an entity contains one or more entities, these particular entities are referred to as nested entities. The Layered BiLSTM-CRF model can use multiple BiLSTM layers to identify nested entities. However, as the number of layers increases, the number of
Liruizhi Jia +4 more
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On the Use of Parsing for Named Entity Recognition
Applied Sciences, 2021 Parsing is a core natural language processing technique that can be used to obtain the structure underlying sentences in human languages. Named entity recognition (NER) is the task of identifying the entities that appear in a text.
Miguel A. Alonso +2 more
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