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Artificial Intelligence, ISSN 0004-3702, 01/2013, Volume 194, pp. 151 - 175
We automatically create enormous, free and multilingual silver-standard training annotations for named entity recognition (ner) by exploiting the text and... 
Wikipedia | Information extraction | Annotated corpora | Semi-supervised learning | Semi-structured resources | Named entity recognition | RETRIEVAL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Financial markets
Journal Article
Information Processing and Management, ISSN 0306-4573, 03/2015, Volume 51, Issue 2, pp. 32 - 49
•We analyse the named entity recognition and disambiguation performance on tweets.•Multiple state-of-the-art systems are included.•Commercial and academic... 
Microblogs | Twitter | Information extraction | Named entity recognition | Entity disambiguation | INFORMATION SCIENCE & LIBRARY SCIENCE | COMPUTER SCIENCE, INFORMATION SYSTEMS | State of the art | Error analysis | Pipelines | News | Texts | Data processing | Natural language processing | Recognition | Computer Science - Computation and Language
Journal Article
PLoS ONE, ISSN 1932-6203, 06/2017, Volume 12, Issue 6, p. e0179488
Journal Article
Computer Standards & Interfaces, ISSN 0920-5489, 09/2013, Volume 35, Issue 5, pp. 482 - 489
Named Entity Recognition serves as the basis for many other areas in Information Management. However, it is unclear what the meaning of Named Entity is, and... 
Information Extraction | Named Entity Recognition | NER tools | Named Entity | Evaluation methodology | COMPUTER SCIENCE, SOFTWARE ENGINEERING | EXTRACTION | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | Evolution | Tasks | Information management | Recognition | Standards
Journal Article
Artificial Intelligence, ISSN 0004-3702, 09/2016, Volume 238, pp. 63 - 82
We present a multilingual Named Entity Recognition approach based on a robust and general set of features across languages and datasets. Our system combines... 
Information Extraction | Named Entity Recognition | Clustering | Semi-supervised learning | Natural Language Processing | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Information extraction | Natural language processing | Named entity recognition
Journal Article
Journal of Biomedical Informatics, ISSN 1532-0464, 06/2017, Volume 70, pp. 85 - 91
[Display omitted] •I proposed a deep neural networks for Biomedical named entity recognition.•A conditional random field was added to capture relationship... 
Natural language processing | Deep neural networks | Biomedical named entity recognition | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MEDICAL INFORMATICS | TUTORIAL | Proteins | Algorithms | Genes | Humans | Natural Language Processing | Neural Networks (Computer) | Language processing | Natural language interfaces | Computational linguistics
Journal Article
IEEE Transactions on Knowledge and Data Engineering, ISSN 1041-4347, 02/2015, Volume 27, Issue 2, pp. 558 - 570
Journal Article
Lingvisticae Investigationes, ISSN 0378-4169, 2007, Volume 30, Issue 1, pp. 3 - 26
This survey covers fifteen years of research in the Named Entity Recognition and Classification (NERC) field, from 1991 to 2006. We report observations about... 
LEARNING METHOD | EVALUATION | NAMED IDENTITY | SURVEY | FEATURE SPACE | Named identity | Evaluation | Survey | Feature space | Learning method | mathematical linguistics | language | computational linguistics | automatic name recognition
Journal Article
Journal of Cheminformatics, ISSN 1758-2946, 01/2019, Volume 11, Issue 1, pp. 7 - 10
We present a text-mining tool for recognizing biomedical entities in scientific literature. OGER++ is a hybrid system for named entity recognition and concept... 
Natural language processing | Concept recognition | Machine learning | Named entity recognition | Language processing | Computational linguistics | Analysis | Natural language interfaces | Web services | Annotations | Neural networks | Benchmarks | Hybrid systems | Data mining | Feedforward | Recognition
Journal Article
POZNAN STUDIES IN CONTEMPORARY LINGUISTICS, ISSN 1897-7499, 06/2019, Volume 55, Issue 2, pp. 239 - 269
In this article we discuss the current state-of-the-art for named entity recognition for Polish. We present publicly available resources and open-source tools... 
PolDeepNer | LINGUISTICS | Named Entity Recognition | LANGUAGE & LINGUISTICS | Poleml Deep Learning | NE lemmatization | Parallel LSTM-CRF | Liner2 | NERF
Journal Article
Pattern Recognition Letters, ISSN 0167-8655, 01/2019, Volume 117, pp. 52 - 57
•Propose a new named-entity pattern recognition method in a syllable bigram units.•Jointly train positional information in the syllable bigram vector... 
Syllable bigram vector representation | Deep neural network | Natural language processing | Korean named-entity recognition | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Performance enhancement | Information retrieval | Error analysis | Representations | Morphology | Recognition
Journal Article
IEICE Transactions on Information and Systems, ISSN 0916-8532, 2018, Volume E101.D, Issue 7, pp. 1811 - 1815
The deep neural named entity recognition model automatically learns and extracts the features of entities and solves the problem of the traditional model... 
named entity recognition | character feature learning | knowledge extraction | character representation learning | Character feature learning | Knowledge extraction | Named entity recognition | Character representation learning | COMPUTER SCIENCE, SOFTWARE ENGINEERING | COMPUTER SCIENCE, INFORMATION SYSTEMS
Journal Article
Journal of Biomedical Informatics, ISSN 1532-0464, 08/2017, Volume 72, pp. 8 - 22
Journal Article