Results 81 to 90 of about 321,295 (333)

Named Entity Recognition: Resource Constrained Maximum Path

ITM Web of Conferences, 2017
Information Extraction (IE) is a process focused on automatic extraction of structured information from unstructured text sources. One open research field of IE relates to Named Entity Recognition (NER), aimed at identifying and associating atomic ...
Di Puglia Pugliese Luigi, Fersini Elisabetta, Guerriero Francesca, Messina Enza   +3 more
doaj   +1 more source

Chinese Named Entity Recognition Integrating Positional and Entity Category Information [PDF]

Jisuanji gongcheng
Words play a crucial role as contextual information in Chinese Named Entity Recognition (NER) tasks. Although character-based methods have achieved some success, existing methods simplistically embed word information and use a limited feature capture ...
YANG Junhui, LI Sujin
doaj   +1 more source

Boosting Named Entity Recognition with Neural Character Embeddings

, 2015
Most state-of-the-art named entity recognition (NER) systems rely on handcrafted features and on the output of other NLP tasks such as part-of-speech (POS) tagging and text chunking.
Guimarães, Victor, Santos, Cicero Nogueira dos   +1 more
core   +1 more source

Named entity recognition in Wikipedia [PDF]

Proceedings of the 2009 Workshop on The People's Web Meets NLP Collaboratively Constructed Semantic Resources - People's Web '09, 2009
Named entity recognition (NER) is used in many domains beyond the newswire text that comprises current gold-standard corpora. Recent work has used Wikipedia's link structure to automatically generate near gold-standard annotations. Until now, these resources have only been evaluated on newswire corpora or themselves.
Dominic Balasuriya, Nicky Ringland, Joel Nothman, Tara Murphy, James R. Curran   +4 more
openaire   +1 more source

Biomimetic Fibrinogen Nanofiber Scaffolds for Vascular Hematopoietic Stem Cell Niche Engineering

Advanced Healthcare Materials, EarlyView.
This study presents an advanced in vitro model of the vascular hematopoietic stem cell niche using self‐assembled fibrinogen nanofibers, mimicking the basement membrane in bone marrow (BM) sinusoids. The model supports the coculture of microvascular endothelial cells, stromal cells, and hematopoietic stem and progenitor cells, providing insights into ...
Sophia Lena Meermeyer, Arundhati Joshi, Constantin von Kaisenberg, Dorothea Brüggemann, Cornelia Lee‐Thedieck   +4 more
wiley   +1 more source

Optimising Selective Sampling for Bootstrapping Named Entity Recognition [PDF]

, 2005
Training a statistical named entity recognition system in a new domain requires costly manual annotation of large quantities of in-domain data. Active learning promises to reduce the annotation cost by selecting only highly informative data points.
Alex, Beatrice, Becker, Markus, Grover, Claire, Hachey, Ben   +3 more
core   +1 more source

Boosting for named entity recognition [PDF]

proceeding of the 6th conference on Natural language learning - COLING-02, 2002
This paper presents a system that applies boosting to the task of named-entity identification. The CoNLL-2002 shared task, for which the system is designed, is language-independent named-entity recognition. Using a set of features which are easily obtainable for almost any language, the presented system uses boosting to combine a set of weak ...
Dekai Wu, Grace Ngai, Marine Carpuat, Jeppe Larsen, Yongsheng Yang   +4 more
openaire   +1 more source

Hybrid Nanofibers for Multimodal Accelerated Wound Healing

Advanced Healthcare Materials, EarlyView.
Fabrication of wound healing scaffolds based on biocompatible nanofibers. Nanofibers offering high surface area, flexibility, and biocompatibility significantly improved the healing outcome in vivo. Histological, immunological, and anti‐inflammatory markers are noticeably better in treated wounds.
Viraj P. Nirwan, Bence Bajusz, Norbert Fabók, Marina Rudan Dimlic, Jelena Budimir, Tshepang Mqatywa, Miklós Gyöngy, Márton Ferencz, Dorottya Kocsis, Olexandr Bondarenko, Mariia Rolduhina, Milena Lengyel, Istvan Antal, Rebecca Hengsbach, Franciska Erdő, Amir Fahmi   +15 more
wiley   +1 more source

Named Entity Recognition Datasets: A Classification Framework

International Journal of Computational Intelligence Systems
Named entity recognition as a fundamental task plays a crucial role in accomplishing some of the tasks and applications in natural language processing. In the age of Internet information, as far as computer applications are concerned, a huge proportion ...
Ying Zhang, Gang Xiao
doaj   +1 more source

Named Entity Recognition on Turkish Tweets [PDF]

, 2013
Various recent studies show that the performance of named entity recognition (NER) systems developed for well-formed text types drops significantly when applied to tweets.
JACQUET GUILLAUME, KUCUK DILEK, STEINBERGER Ralf   +2 more
core