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Persistent Data: Entity Framework Core
In this chapter, we will update the project seen in the previous chapter. In particular, we will demonstrate how to make use of the Entity Framework...
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Entity relation joint extraction method for manufacturing industry knowledge data based on improved BERT algorithm
The existing joint extraction methods for entity relationships in knowledge data only target specific fields or datasets, which may have insufficient...
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Entity Alignment Concepts, Recent Advances and Novel Approaches
This open access book systematically investigates the topic of entity alignment, which aims to detect equivalent entities that are located in...
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Entity integrity management under data volume, variety and veracity
Edgar Codd introduced the principle of entity integrity in the context of his relational model of data. The principle says that every targeted...
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A multi-stage recognizer for nested named entity with weakly labeled data
Existing weakly supervised named entity recognition (NER) research only deals with flat entities and ignores nested entities. This paper proposes a...
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An Effective Biomedical Named Entity Recognition by Handling Imbalanced Data Sets Using Deep Learning and Rule-Based Methods
Biomedical named entity recognition (Bio-NER) is an important and fundamental task for biomedical text mining. Bio-NER has various applications,...
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Exploiting anonymous entity mentions for named entity linking
Named entity linking or named entity disambiguation is to link entity mentions to corresponding entities in a knowledge base for resolving the...
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Biomedical entity linking based on less labeled data
In this work, we perform a joint learning model to construct a fine-grained biomedical entity and relation linking. We adopt a probabilistic a...
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Semi-supervised geological disasters named entity recognition using few labeled data
The geological disasters Named Entity Recognition (NER) method aims to recognize entities reflecting disaster event information in unstructured texts...
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Transformer-based Denoising Adversarial Variational Entity Resolution
Entity resolution (ER), precisely identifying different representations of the same real-world entities, is critical for data integration. The ER...
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The Five Generations of Entity Resolution on Web Data
Entity Resolution constitutes a core data integration task that has attracted a bulk of works on improving its effectiveness and time efficiency....
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Prompts in Few-Shot Named Entity Recognition
AbstractThe article explores various methods for generating questions (prompts) in question-answer approaches to named entity recognition. In such...
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GPT for medical entity recognition in Spanish
In recent years, there has been a remarkable surge in the development of Natural Language Processing (NLP) models, particularly in the realm of Named...
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Entity Relation Joint Extraction with Data Augmentation Based on Large Language Model
Entity relation extraction aims to identify entities and their semantic relationships from unstructured text. To address issues like cascading errors...
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Access control based on entity matching for secure data sharing
Useful information for analysis and learning purposes is often located in heterogeneous and autonomous sources. We consider the problem where data...
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Knowledge-graph-enabled biomedical entity linking: a survey
Biomedical Entity Linking (BM-EL) task, which aims to match biomedical mentions in articles to entities in a certain knowledge base (e.g., the...
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Learning contextual representations for entity retrieval
In this paper, we introduce Contextual Entity Ranking (CoER) for the task of entity retrieval. CoER utilizes a textual knowledge graph to learn...
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Fine-grained cybersecurity entity ty** based on multimodal representation learning
Fine-grained entity ty** is crucial to improving the efficiency of research in the field of cybersecurity. However, modality limitations and...
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Application of Data Encryption in Chinese Named Entity Recognition
Recently, with the continuous development of deep learning, there has been a significant improvement in the performance of named entity recognition...
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Open benchmark for filtering techniques in entity resolution
Entity Resolution identifies entity profiles that represent the same real-world object. A brute-force approach that considers all pairs of entities...
