<p>This corpus contains 408 Wikipedia articles. Those are biographies, manually annotated to higlight entities of the following types: Dates, Locations, Organizations and Persons. It was designed to be used by our tool Nerwip (https://github.com/CompNet/nerwip), in order to evaluate and compare existing NER tools on biographic data.</p> <p>It was constituted by Burcu Küpelioglu during her end of study project, and then cleaned and corrected by Samet Atdag during his MSc, to get a total of 250 articles (v3). Vincent Labatut then completed it further, to reach 408 articles (v4).</p> <p>The dataset is shared under a Creative Commons 0 license. If you use it, please cite the following article: A Comparison of Named Entity Recognition Tools Appl...
Named entity recognition (NER) is of vital importance in information extraction in natural language ...
A Genism LDA Topic Model of English Wikipedia biographical articles with list of all 1.8M articles, ...
An approach for named entity classification based on Wikipedia article infoboxes is described in thi...
This platform was initially designed to apply and compare Named Entity Recognition (NER) tools on co...
<p>Set of 408 biographic articles extracted from Wikipedia. Most of them are represented by 5 differ...
<p>Set of 250 biographic articles extracted from Wikipedia. Most of them are represented by 3 differ...
Named Entity Extraction (NER) consists in identifying specific textual expressions, which represent ...
AbstractWe automatically create enormous, free and multilingual silver-standard training annotations...
We present a fine-grained NER annotations with 30 labels and apply it to German data. Building on th...
We present a fine-grained NER annotations scheme with 30 labels and apply it to German data. Buildin...
In the domain of Natural Language Processing (NLP), Named Entity Recognition (NER) stands out as a p...
Abstract Named entity recognition (NER) is an important method for Natural Language Processing. In ...
Named entity recognition (NER), search, classification and tagging of names and name like frequent i...
Named Entity Recognition (NER) is a core component in extraction information that aims to detect and...
Named Entity Recognition (NER), search, classification and tagging of names and name-like informatio...
Named entity recognition (NER) is of vital importance in information extraction in natural language ...
A Genism LDA Topic Model of English Wikipedia biographical articles with list of all 1.8M articles, ...
An approach for named entity classification based on Wikipedia article infoboxes is described in thi...
This platform was initially designed to apply and compare Named Entity Recognition (NER) tools on co...
<p>Set of 408 biographic articles extracted from Wikipedia. Most of them are represented by 5 differ...
<p>Set of 250 biographic articles extracted from Wikipedia. Most of them are represented by 3 differ...
Named Entity Extraction (NER) consists in identifying specific textual expressions, which represent ...
AbstractWe automatically create enormous, free and multilingual silver-standard training annotations...
We present a fine-grained NER annotations with 30 labels and apply it to German data. Building on th...
We present a fine-grained NER annotations scheme with 30 labels and apply it to German data. Buildin...
In the domain of Natural Language Processing (NLP), Named Entity Recognition (NER) stands out as a p...
Abstract Named entity recognition (NER) is an important method for Natural Language Processing. In ...
Named entity recognition (NER), search, classification and tagging of names and name like frequent i...
Named Entity Recognition (NER) is a core component in extraction information that aims to detect and...
Named Entity Recognition (NER), search, classification and tagging of names and name-like informatio...
Named entity recognition (NER) is of vital importance in information extraction in natural language ...
A Genism LDA Topic Model of English Wikipedia biographical articles with list of all 1.8M articles, ...
An approach for named entity classification based on Wikipedia article infoboxes is described in thi...