Results 71 to 80 of about 321,295 (333)

Iterative Named Entity Recognition with Conditional Random Fields

Applied Sciences, 2021
Named entity recognition (NER) constitutes an important step in the processing of unstructured text content for the extraction of information as well as for the computer-supported analysis of large amounts of digital data via machine learning methods ...
Ana Alves-Pinto, Christoph Demus, Michael Spranger, Dirk Labudde, Eleanor Hobley   +4 more
doaj   +1 more source

Mining web data for competency management [PDF]

, 2005
We present CORDER (COmmunity Relation Discovery by named Entity Recognition) an un-supervised machine learning algorithm that exploits named entity recognition and co-occurrence data to associate individuals in an organization with their expertise and ...
Goncalves, A.L., Motta, E., Pacheco, R., Uren, V.S., Zhu, J.   +4 more
core   +1 more source

Nested Named Entity Recognition Revisited [PDF]

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), 2018
We propose a novel recurrent neural network-based approach to simultaneously handle nested named entity recognition and nested entity mention detection. The model learns a hypergraph representation for nested entities using features extracted from a recurrent neural network.
Arzoo Katiyar, Claire Cardie
openaire   +1 more source

An Ultrafast Self‐Gelling Versatile Hydrogel for Rapid Infected Burn Wound Repair in Military Medicine

Advanced Functional Materials, EarlyView.
A self‐gelling PG@PAC (POD/Gel‐CDH@PA/CHX) powder is developed for infected burn care in austere settings. Upon contact with wound exudate, it instantly forms an adhesive hydrogel, providing simultaneous hemostasis, broad‐spectrum antibacterial activity, reactive oxygen species scavenging, and immunomodulation. In a murine model of S.
Liping Zhang, Zhangrui Wu, Xiansheng Zhao, Geng Wang, Quyang Yang, Minxia zhang, Xiaowei Wang, Xiujun Cheng, Changyue Wu, Dan Wu, Yutian Yang, Canbin Dong, Tao Zhang, Weiqiang Tan, Ningwen Zhu   +14 more
wiley   +1 more source

Integrated Model for Morphological Analysis and Named Entity Recognition Based on Label Attention Networks in Korean

Applied Sciences, 2020
In well-spaced Korean sentences, morphological analysis is the first step in natural language processing, in which a Korean sentence is segmented into a sequence of morphemes and the parts of speech of the segmented morphemes are determined. Named entity
Hongjin Kim, Harksoo Kim
doaj   +1 more source

Cell Calcification Models and Their Implications for Medicine and Biomaterial Research

Advanced Healthcare Materials, EarlyView.
Calcification, is the process by which the tissues containing minerals are formed, occurring during normal physiological processes, or in pathological conditions. Here, it is aimed to give a comprehensive overview of the range of cell models available, and the approaches taken by these models, highlighting when and how methodological divergences arise,
Luke Hunter, Caterina Vanelli Coralli, Robert Dzhanaev, Aaron Morgan, Willi Jahnen‐Dechent, Sergio Bertazzo   +5 more
wiley   +1 more source

Named Entity Recognition Based on Multi-scale Attention [PDF]

Jisuanji kexue yu tansuo
The accuracy of named entity recognition (NER) task will promote the research of multiple downstream tasks in natural language field. Due to a large number of nested semantics in text, named entities are recognized difficultly.
TANG Ruixue, QIN Yongbin, CHEN Yanping
doaj   +1 more source

Federated Named Entity Recognition

, 2022
We present an analysis of the performance of Federated Learning in a paradigmatic natural-language processing task: Named-Entity Recognition (NER). For our evaluation, we use the language-independent CoNLL-2003 dataset as our benchmark dataset and a Bi-LSTM-CRF model as our benchmark NER model.
Mathew, Joel, Stripelis, Dimitris, Ambite, José Luis   +2 more
openaire   +1 more source

A named entity recognition dataset for Turkish

2016 24th Signal Processing and Communication Application Conference (SIU), 2016
Named entity recognition is one of the important topics in the research area of natural language processing. Named entity recognition studies conducted on Turkish texts are quite limited, compared to the studies on other languages. Besides, the lack of common data sets makes the comparison of different approaches harder.
Kucuk, Dilek, Kucuk, Dogan, Arici, Nursal   +2 more
openaire   +3 more sources

Increased Anti‐Psoriatic Effect of Anti‐Inflammatory Dendrimers Using Fluid Catanionic Vesicle‐Based Topical Formulations

Advanced Healthcare Materials, EarlyView.
Next‐Generation Psoriasis Therapy – With advanced dendrimer‐based formulations, this study paves the way for highly effective, skin‐permeable treatments. Encapsulated in fluid catanionic vesicles, IMD‐006 and its analogues show promising anti‐psoriatic effects offering a targeted, non‐invasive approach to managing chronic skin inflammation.
Ranime Jebbawi, Abdelouahd Oukhrib, Emily Clement, Hélène Labie, Stéphanie Cassel, Séverine Fruchon, Anne‐Marie Caminade, Michel Simon, Rémy Poupot, Cédric‐Olivier Turrin, Muriel Blanzat   +10 more
wiley   +1 more source