NSTL国家科技图书文献中心

1. Entity Examples for Explainable Query Target Type Identification with LLMs NSTL国家科技图书文献中心

Dario Garigliotti - 《Intelligent Data Engineering and Automated Learning - IDEAL 2024,Part II》 - International Conference on Intelligent Data Engineering and Automated Learning - 2025, - 253～259 - 共7页

摘要： Type Identification* (TTI) by replacing the* | When answering a user query with relevant | entities from a knowledge base (KB), utilizing their | semantic class or type information typically structured | in the KB is known to improve the retrieval

关键词： Target type identification | Entity retrieval | LLMs

2. Named entity recognition for de-identifying Spanish electronic health records NSTL国家科技图书文献中心

Moreno-Barea F.J. | Lopez-Garcia G.... - 《Computers in Biology and Medicine》 - 2025,185 - Article 109576～Article 109576 - 共19页

摘要： named entity* recognition task and two deep learning* | . Consequently, automatic de-identification* of EHRs is an* | study, the automatic de-identification* of medical* | surpass RNNs in the de-identification* of clinical data* | precise de-identification* of clinical notes in real*

关键词： De-identification | Electronic health records | Named entity recognition | Natural language processing | Spanish

3. Natural language processing in drug discovery: bridging the gap between text and therapeutics with artificial intelligence NSTL国家科技图书文献中心

Withers, Christine A... | Rufai, Amina Mardiyy...... - 《Expert opinion on drug discovery》 - 2025,20(6) - 765～783 - 共19页

摘要： in text using ontologies to entity identification | Entity Recognition (NER) in text - from tagging terms | IntroductionThe field of Natural Language | Processing (NLP) within the life sciences has exploded in | its capacity to aid the extraction and analysis of

关键词： Drug discovery | Natural language processing | named entity recognition | large language model | knowledge graph | machine learning | deep learning | ontology

4. A bi-consolidating model for joint relational triple extraction NSTL国家科技图书文献中心

Luo X. | Chen Y.... - 《Neurocomputing》 - 2025,614(Jan.21) - 1.1～1.14 - 共14页

摘要： both entity* identification and relation type* | on entity* recognition. The task suffers from a* | possible entity* pair in a raw sentence without depending* | © 2024 Elsevier B.V.Current methods to extract | relational triples directly make a prediction based on a

关键词： Attention mechanism | Joint entity and relation extraction | Pixel difference convolutions | Relational triple extraction

5. A High-Precision Generality Method for Chinese Nested Named Entity Recognition NSTL国家科技图书文献中心

Xiayan Ji | Lina Chen ... - 《Wireless Artificial Intelligent Computing Systems and Applications,Part III》 - International Conference on Wireless Artificial Intelligent Computing Systems and Applications - 2025, - 290～301 - 共12页

摘要：Chinese Named Entity* Recognition (CNNER) faces* | distribution of named entity* classes in actual Chinese* | between character pairs, facilitating the identification | distribution of entity* classes. We employed the DiaKG, Yidu* | numerous challenges, including the diversity of the

关键词： Attention mechanism | Chinese nested named entity recognition | Generality | Multi-feature representation

6. Pseudonymization in Legal Texts According to the LGPD: A Named Entity Recognition Approach NSTL国家科技图书文献中心

Marcelo Anselmo | Bruno Cesar Ribas - 《Intelligent Systems,Part II》 - Brazilian Conference on Intelligent Systems - 2025, - 309～323 - 共15页

摘要： Entity Recognition (NER) for the pseudonymization of | identification of sensitive data and learning from user | This study explores the application of Named | data in legal texts, aiming to protect Personally | Identifiable Information (PII) in compliance with Brazil's

关键词： Data pseudonymization | Named entity recognition | Information privacy | Legal texts | LGPD | Transformer

7. Named Entity Recognition to Extract Knowledge from Clinical Texts NSTL国家科技图书文献中心

Ileana Scarpino | Rosarina Vallelunga ... - 《Numerical Computations,Part III》 - International Conference on Numerical Computations: Theory and Algorithms - 2025, - 180～192 - 共13页

摘要： Entity Recognition (NER), is applied to extract | identification of seven medication-related concepts, dosage | Clinical texts encompass a wide range of | information such as patient's history, disease diagnosis and | prescribed drugs, reflecting details and nuances that are

关键词： Named entity recognition | Natural language processing | Clinical report

8. Joint Entity and Relation Extraction Based on Bidirectional Update and Long-Term Memory Gate Mechanism NSTL国家科技图书文献中心

Yili Qian | Enlong Ren ... - 《Chinese Computational Linguistics》 - China National Conference on Computational Linguistics - 2025, - 174～190 - 共17页

摘要：Joint entity* recognition and relation* | entity recognition and relation extraction. We | utilizing entity* information may lead to information loss* | and affect the identification* of relation tuples* | entity and relation information, iteratively fusing

关键词： Relation extraction | Joint extraction | Information update | Long-term memory gate

9. The Efficacy of a Named Entity Recognition AI Model for Identifying Incidental Pulmonary Nodules in CT Reports NSTL国家科技图书文献中心

Mojibian, Alireza | Jaskolka, Jeff ... - 《Canadian Association of Radiologists journal》 - 2025,76(1) - 68～75 - 共8页

摘要： a commercial medical Named Entity* Recognition (NER* | systems could automate the identification* of at-risk* | Purpose: This study evaluates the efficacy of | ) model combined with a post-processing protocol in | identifying incidental pulmonary nodules from CT reports

关键词： incidental pulmonary nodule | Named Entity Recognition and Classification | lung cancer | nodules | model accuracy

10. Digital twin-based identification of crystal plastic material parameters for weld joints of orthotropic steel decks NSTL国家科技图书文献中心

Ye, Yang | Xu, You-Lin ... - 《Advances in structural engineering》 - 2025,28(2) - 207～226 - 共20页

摘要：The identification* of crystal plasticity (CP* | entity) cut from the weld joints of OSD and sliced to | used to develop a multiscale virtual entity* to map* | the physical entity. The particle swarm optimization | that the DT-based identification* of CP material*

关键词： weld joints | orthotropic steel deck | crystal plastic material parameters | multiscale finite element model | stress-strain material test | digital twin | DUCTILE FRACTURE | FATIGUE | MICROSTRUCTURE | MODEL...

摘要： Type Identification (TTI) by replacing the | When answering a user query with relevant | entities from a knowledge base (KB), utilizing their | semantic class or type information typically structured | in the KB is known to improve the retrieval

关键词： Target type identification | Entity retrieval | LLMs

摘要： named entity recognition task and two deep learning | . Consequently, automatic de-identification of EHRs is an | study, the automatic de-identification of medical | surpass RNNs in the de-identification of clinical data | precise de-identification of clinical notes in real

关键词： De-identification | Electronic health records | Named entity recognition | Natural language processing | Spanish

摘要： in text using ontologies to entity identification | Entity Recognition (NER) in text - from tagging terms | IntroductionThe field of Natural Language | Processing (NLP) within the life sciences has exploded in | its capacity to aid the extraction and analysis of

关键词： Drug discovery | Natural language processing | named entity recognition | large language model | knowledge graph | machine learning | deep learning | ontology

摘要： both entity identification and relation type | on entity recognition. The task suffers from a | possible entity pair in a raw sentence without depending | © 2024 Elsevier B.V.Current methods to extract | relational triples directly make a prediction based on a

关键词： Attention mechanism | Joint entity and relation extraction | Pixel difference convolutions | Relational triple extraction

摘要：Chinese Named Entity Recognition (CNNER) faces | distribution of named entity classes in actual Chinese | between character pairs, facilitating the identification | distribution of entity classes. We employed the DiaKG, Yidu | numerous challenges, including the diversity of the

关键词： Attention mechanism | Chinese nested named entity recognition | Generality | Multi-feature representation

摘要： Entity Recognition (NER) for the pseudonymization of | identification of sensitive data and learning from user | This study explores the application of Named | data in legal texts, aiming to protect Personally | Identifiable Information (PII) in compliance with Brazil's

关键词： Data pseudonymization | Named entity recognition | Information privacy | Legal texts | LGPD | Transformer

摘要： Entity Recognition (NER), is applied to extract | identification of seven medication-related concepts, dosage | Clinical texts encompass a wide range of | information such as patient's history, disease diagnosis and | prescribed drugs, reflecting details and nuances that are

关键词： Named entity recognition | Natural language processing | Clinical report

摘要：Joint entity recognition and relation | entity recognition and relation extraction. We | utilizing entity information may lead to information loss | and affect the identification of relation tuples | entity and relation information, iteratively fusing

关键词： Relation extraction | Joint extraction | Information update | Long-term memory gate

摘要： a commercial medical Named Entity Recognition (NER | systems could automate the identification of at-risk | Purpose: This study evaluates the efficacy of | ) model combined with a post-processing protocol in | identifying incidental pulmonary nodules from CT reports

关键词： incidental pulmonary nodule | Named Entity Recognition and Classification | lung cancer | nodules | model accuracy

摘要：The identification of crystal plasticity (CP | entity) cut from the weld joints of OSD and sliced to | used to develop a multiscale virtual entity to map | the physical entity. The particle swarm optimization | that the DT-based identification of CP material

关键词： weld joints | orthotropic steel deck | crystal plastic material parameters | multiscale finite element model | stress-strain material test | digital twin | DUCTILE FRACTURE | FATIGUE | MICROSTRUCTURE | MODEL...

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国家科技图书文献中心

摘要： Type Identification* (TTI) by replacing the* | When answering a user query with relevant | entities from a knowledge base (KB), utilizing their | semantic class or type information typically structured | in the KB is known to improve the retrieval

摘要： named entity* recognition task and two deep learning* | . Consequently, automatic de-identification* of EHRs is an* | study, the automatic de-identification* of medical* | surpass RNNs in the de-identification* of clinical data* | precise de-identification* of clinical notes in real*

摘要： both entity* identification and relation type* | on entity* recognition. The task suffers from a* | possible entity* pair in a raw sentence without depending* | © 2024 Elsevier B.V.Current methods to extract | relational triples directly make a prediction based on a

摘要：Chinese Named Entity* Recognition (CNNER) faces* | distribution of named entity* classes in actual Chinese* | between character pairs, facilitating the identification | distribution of entity* classes. We employed the DiaKG, Yidu* | numerous challenges, including the diversity of the

摘要：Joint entity* recognition and relation* | entity recognition and relation extraction. We | utilizing entity* information may lead to information loss* | and affect the identification* of relation tuples* | entity and relation information, iteratively fusing

摘要： a commercial medical Named Entity* Recognition (NER* | systems could automate the identification* of at-risk* | Purpose: This study evaluates the efficacy of | ) model combined with a post-processing protocol in | identifying incidental pulmonary nodules from CT reports

摘要：The identification* of crystal plasticity (CP* | entity) cut from the weld joints of OSD and sliced to | used to develop a multiscale virtual entity* to map* | the physical entity. The particle swarm optimization | that the DT-based identification* of CP material*