Results 41 to 50 of about 103,682 (312)

Named entity evolution recognition on the Blogosphere [PDF]

International Journal on Digital Libraries, 2014
Advancements in technology and culture lead to changes in our language. These changes create a gap between the language known by users and the language stored in digital archives. It affects user's possibility to firstly find content and secondly interpret that content. In previous work we introduced our approach for Named Entity Evolution Recognition~(
Helge Holzmann, Nina Tahmasebi, Thomas Risse 0001   +2 more
openaire   +2 more sources

Precursor-induced conditional random fields: connecting separate entities by induction for improved clinical named entity recognition

BMC Medical Informatics and Decision Making, 2019
Background This paper presents a conditional random fields (CRF) method that enables the capture of specific high-order label transition factors to improve clinical named entity recognition performance.
Wangjin Lee, Jinwook Choi
doaj   +1 more source

An Improved Approach to the Construction of Chinese Medical Knowledge Graph Based on CTD-BLSTM Model

IEEE Access, 2021
In the process of constructing the knowledge graph, entity recognition and relationship extraction are not only the most fundamental but also the most important tasks, and the effect of their model directly affects the final result of the graph.
Yang Wu, Xiyong Zhu, Yinan Zhu
doaj   +1 more source

A Research Toward Chinese Named Entity Recognition Based on Transfer Learning

International Journal of Computational Intelligence Systems, 2023
To improve the performance of named entity recognition in the lack of well-annotated entity data, a transfer learning-based Chinese named entity recognition model is proposed in this paper.
Hui Kang, Jingwu Xiao, Yunpeng Zhang, Lei Zhang, Xu Zhao, Tie Feng   +5 more
doaj   +1 more source

Unsupervised Named-Entity Recognition: Generating Gazetteers and Resolving Ambiguity

, 2006
In this paper, we propose a named-entity recognition (NER) system that addresses two major limitations frequently discussed in the field. First, the system requires no human intervention such as manually labeling training data or creating gazetteers ...
Turney, Peter, Nadeau, D., Nadeau, David, David Nadeau, Peter D. Turney, Stan Matwin, Turney, Peter D., Matwin, S., Matwin, Stan   +8 more
core   +1 more source

OWNER — Toward Unsupervised Open-World Named Entity Recognition

IEEE Access
Named Entity Recognition (NER) is a crucial task in Natural Language Processing (NLP), traditionally addressed through supervised learning, which requires extensive annotated corpora. This requirement poses challenges, particularly in specialized domains
Pierre-Yves Genest, Pierre-Edouard Portier, Elod Egyed-Zsigmond, Martino Lovisetto   +3 more
doaj   +1 more source

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, Feng Zhou, Zhiyuan Hao, Qiaoming Liu, Yong Li, Qi Qin   +5 more
doaj   +1 more source

Arabic named entity recognition. [PDF]

, 2015
En esta tesis doctoral se describen las investigaciones realizadas con el objetivo de determinar las mejores tecnicas para construir un Reconocedor de Entidades Nombradas en Arabe. Tal sistema tendria la habilidad de identificar y clasificar las entidades nombradas que se encuentran en un texto arabe de dominio abierto.
openaire   +2 more sources

Named entity recognition: challenges in document annotation, gazetteer construction and disambiguation [PDF]

, 2013
The ' information explosion' has generated unprecedented amount of published information that is still growing at an astonishing rate. As the amount of information grows, the problem of managing the information becomes challenging.
Zhang, Ziqi
core  

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source