Results 101 to 110 of about 318,360 (330)
Named entity recognition in resumes
Named entity recognition (NER) is used to extract information from various documents and texts such as names and dates. It is important to extract education and work experience information from resumes in order to filter them. Considering the fact that all information in a resume has to be entered to the companys system manually, automatizing this ...
Kesim, Ege, Deliahmetoglu, Aysu
openaire +2 more sources
Additive manufacturing revolutionizes production by enabling on‐demand, customized, and sustainable manufacturing with streamlined supply chains. While metal and polymer AM are well‐established, advanced ceramic AM is rapidly emerging, overcoming traditional material challenges.
Kateryna Oleksandrivna Shvydyuk +2 more
wiley +1 more source
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
KnowNER: Incremental Multilingual Knowledge in Named Entity Recognition
KnowNER is a multilingual Named Entity Recognition (NER) system that leverages different degrees of external knowledge. A novel modular framework divides the knowledge into four categories according to the depth of knowledge they convey.
Del Corro, Luciano +4 more
core
A Dual‐Emissive DNA‐Templated Silver Nanocluster with Near‐Infrared I and II Emission
This study presents a dual‐emissive DNA‐stabilized silver nanocluster with a nanosecond‐lived NIR‐I emission band and a microsecond‐lived NIR‐II emission band. Mass spectrometry establishes that the nanocluster has molecular formula (DNA)2[Ag17]11+. DNA sequence variations reveal critical nucleobases for stabilization, and modifications at the DNA 5 ...
Anna Gonzàlez‐Rosell +6 more
wiley +1 more source
Named Entity Recognition in Assamese
Named Entity Recognition is a process through which a program extracts proper nouns in texts and associates them with a proper tag. NER has made significant progress in European languages, but in Indian languages due to the lack of effort as well as proper resources, it remains a challenging task.
Jugal Kalita +2 more
openaire +1 more source
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
Evaluation of Named Entity Recognition Algorithms in Short Texts
: One of the major consequences of the growth of social networks has been the generation of huge volumes of content. The text that is generated in social networks constitutes a new type of content, that is short, informal, lacking grammar in some cases,
Edgar Casasola Murillo, Raquel Fonseca
doaj +1 more source
On–Off Switchable Micromotors for Use in Steerable Microvehicles
Electrically controllable micromotors and microvehicles are developed by tuning the diffusion of the fuel. Self‐propelled micromotors using bubble propulsion show great promise for miniaturized devices with multiuse purposes such as cargo delivery and sensing. However, there is currently no method to electrically switch the micromotors on or off. Here,
Hugo Severinsson +3 more
wiley +1 more source
German Medical Named Entity Recognition Model and Data Set Creation Using Machine Translation and Word Alignment: Algorithm Development and Validation [PDF]
Johann Frei, Frank Krämer
openalex +1 more source

