Named Entity Disambiaguation (NED) is a central task for applications dealing with natural language text. Assume that we have a graph based knowledge base (subsequently referred as Knowledge Graph) where nodes represent various real world entities such as peo-ple, location, organization and concepts. Given data sources such as social media stream
We address the Named Entity Disambiguation (NED) prob-lem for short, user-generated texts on the soc...
In this paper we present a novel disambiguation model, based on neural networks. Most existing studi...
Identifying entities such as people, organizations, songs, or places in natural language texts is ne...
A Knowledge Graph-based approach to Named Entity Disambiguation (NED) for healthcare applications
Named Entity Disambiguation (NED) refers to the task of mapping different named entity mentions in r...
Named entity disambiguation (NED) is a central problem in information extraction. The goal is to lin...
Named entity recognition (NER) and disambiguation (NED) are subtasks of information extraction that ...
Disambiguating named entities (NE) in running text to their correct interpretations in a specific kn...
Named Entity Disambiguation (NED) is a crucial task in many Natural Language Processing applications...
An enormous amount of digital information is expressed as natural-language (NL) text that is not eas...
Named entity extraction (NEE) and disambiguation (NED) are two areas of research that are well cover...
Named Entity Disambiguation (NED) is a Natural Language Processing task of linking mentions of named...
The vast amount of web data enables us to build knowledge bases with unprecedented quality and cover...
Named entity disambiguation is the task of disambiguating named entity mentions in natural language ...
Named entity extraction (NEE) and disambiguation (NED) are two areas of research that are well cover...
We address the Named Entity Disambiguation (NED) prob-lem for short, user-generated texts on the soc...
In this paper we present a novel disambiguation model, based on neural networks. Most existing studi...
Identifying entities such as people, organizations, songs, or places in natural language texts is ne...
A Knowledge Graph-based approach to Named Entity Disambiguation (NED) for healthcare applications
Named Entity Disambiguation (NED) refers to the task of mapping different named entity mentions in r...
Named entity disambiguation (NED) is a central problem in information extraction. The goal is to lin...
Named entity recognition (NER) and disambiguation (NED) are subtasks of information extraction that ...
Disambiguating named entities (NE) in running text to their correct interpretations in a specific kn...
Named Entity Disambiguation (NED) is a crucial task in many Natural Language Processing applications...
An enormous amount of digital information is expressed as natural-language (NL) text that is not eas...
Named entity extraction (NEE) and disambiguation (NED) are two areas of research that are well cover...
Named Entity Disambiguation (NED) is a Natural Language Processing task of linking mentions of named...
The vast amount of web data enables us to build knowledge bases with unprecedented quality and cover...
Named entity disambiguation is the task of disambiguating named entity mentions in natural language ...
Named entity extraction (NEE) and disambiguation (NED) are two areas of research that are well cover...
We address the Named Entity Disambiguation (NED) prob-lem for short, user-generated texts on the soc...
In this paper we present a novel disambiguation model, based on neural networks. Most existing studi...
Identifying entities such as people, organizations, songs, or places in natural language texts is ne...