Named entity recognition and disambiguation using linked data and graph-based centrality scoring
Named Entity Recognition (NER) is a subtask of information extraction and aims to identify
atomic entities in text that fall into predefined categories such as person, location …
atomic entities in text that fall into predefined categories such as person, location …
[PDF][PDF] Wikification and Beyond: The Challenges of Entity and Concept Grounding.
Contextual disambiguation and grounding of concepts and entities in natural language text
are essential to moving forward in many natural language understanding related tasks and …
are essential to moving forward in many natural language understanding related tasks and …
Collective disambiguation in entity linking based on topic coherence in semantic graphs
Entity Linking (EL) consists of determinating the entities that best represent the mentions in a
document. Mentions can be very ambiguous and can refer to different entities in different …
document. Mentions can be very ambiguous and can refer to different entities in different …
Do we need entity-centric knowledge bases for entity disambiguation?
Entity Disambiguation has been studied extensively in the last 10 years with authors
reporting increasingly well performing systems. However, most studies focused on general …
reporting increasingly well performing systems. However, most studies focused on general …
Comparative evaluation of link-based approaches for candidate ranking in link-to-wikipedia systems
In recent years, the task of automatically linking pieces of text (anchors) mentioned in a
document to Wikipedia articles that represent the meaning of these anchors has received …
document to Wikipedia articles that represent the meaning of these anchors has received …
Disambiguating named entities with deep supervised learning via crowd labels
Named entity disambiguation (NED) is the task of linking mentions of ambiguous entities to
their referenced entities in a knowledge base such as Wikipedia. We propose an approach …
their referenced entities in a knowledge base such as Wikipedia. We propose an approach …
Semantic relatedness approach for named entity disambiguation
Natural Language is a mean to express and discuss about concepts, objects, events, ie, it
carries semantic contents. One of the ultimate aims of Natural Language Processing …
carries semantic contents. One of the ultimate aims of Natural Language Processing …
Mis-categorized entities detection
Entity categorization, the process of categorizing entities into groups, is an important
problem with many applications. However, in practice, many entities are mis-categorized …
problem with many applications. However, in practice, many entities are mis-categorized …
[PDF][PDF] Descubrimiento de grafos en datos enlazados para la anotación semántica de documentos
EN Otero García - 2017 - apps.citius.usc.es
La cantidad de datos digitales disponibles en los últimos anos ha aumentado
exponencialmente, convirtiendo a la Web en el mayor repositorio de información, donde …
exponencialmente, convirtiendo a la Web en el mayor repositorio de información, donde …
[PDF][PDF] A Random Graph Walk based Approach to Computing Semantic Relatedness Using Knowledge from Wikipedia.
Determining semantic relatedness between words or concepts is a fundamental process to
many Natural Language Processing applications. Approaches for this task typically make …
many Natural Language Processing applications. Approaches for this task typically make …