Add to ORKGThis platform was initially designed to apply and compare Named Entity Recognition (NER) tools on collections of texts. It was later specialized to process biographical articles extracted from the English version of Wikipedia. It allows using several standard standalone tools listed below, as well as some custom tools. It also implements several ways of combining the outputs of standalone NER tools to improve the global output
Named Entity Recognition is a main task in the NLP area that has yielded multiple web-based natural ...
Abstract. The development of highly accurate Named Entity Recognition (NER) systems can be beneficia...
In this paper, we present our Named Entity Recognition (NER) system for German – NERU (Named Entity ...
<p>This corpus contains 408 Wikipedia articles. Those are biographies, manually annotated to higligh...
AbstractWe automatically create enormous, free and multilingual silver-standard training annotations...
In natural language understanding, extraction of named entity (NE) mentions in given text and classi...
Named Entity Extraction (NER) consists in identifying specific textual expressions, which represent ...
Over the last 15 years the role of named entities became more and more impor- tant in natural langu...
An approach for named entity classification based on Wikipedia article infoboxes is described in thi...
Named entity recognition (NER) is of vital importance in information extraction in natural language ...
Named Entity Recognition (NER) plays an important role in a variety of online information management...
Abstract. The Web of data promotes the idea that more and more data are interconnected. A step towar...
Abstract Named entity recognition (NER) is an important method for Natural Language Processing. In ...
Named entity recognition and classification (NERC) is fundamental for natural language processing ta...
Named entity recognition (NER) is an information extraction (IE) task that is in the scope of natura...
Named Entity Recognition is a main task in the NLP area that has yielded multiple web-based natural ...
Abstract. The development of highly accurate Named Entity Recognition (NER) systems can be beneficia...
In this paper, we present our Named Entity Recognition (NER) system for German – NERU (Named Entity ...
<p>This corpus contains 408 Wikipedia articles. Those are biographies, manually annotated to higligh...
AbstractWe automatically create enormous, free and multilingual silver-standard training annotations...
In natural language understanding, extraction of named entity (NE) mentions in given text and classi...
Named Entity Extraction (NER) consists in identifying specific textual expressions, which represent ...
Over the last 15 years the role of named entities became more and more impor- tant in natural langu...
An approach for named entity classification based on Wikipedia article infoboxes is described in thi...
Named entity recognition (NER) is of vital importance in information extraction in natural language ...
Named Entity Recognition (NER) plays an important role in a variety of online information management...
Abstract. The Web of data promotes the idea that more and more data are interconnected. A step towar...
Abstract Named entity recognition (NER) is an important method for Natural Language Processing. In ...
Named entity recognition and classification (NERC) is fundamental for natural language processing ta...
Named entity recognition (NER) is an information extraction (IE) task that is in the scope of natura...
Named Entity Recognition is a main task in the NLP area that has yielded multiple web-based natural ...
Abstract. The development of highly accurate Named Entity Recognition (NER) systems can be beneficia...
In this paper, we present our Named Entity Recognition (NER) system for German – NERU (Named Entity ...