To some degree, from the aspect of entity disambiguation, entity recognition and linking is similar with another task, entity set expansion.
It was designed to support general tasks, i.e. any task annotating entities and relationships.
Entity Recognition and Linking Given a piece of text and a knowledge base, the task of entity recognition aims to recognize the boundary of entity mentions in the text, and the task of entity linking is to map the entity mentions to the corresponding entities in the knowledge base.
In this second setup, we took datasets from the BioNLP 2011 shared task [40] (entity relations supporting task (REL)).
Semantic tagging can be seen as an expansion of named entity recognition task, in which the entities are identified, disambiguated, and linked to a real-world entity, normally using a ontology or knowledge base.
It has been a working hypothesis of BioCreative that by posing generic challenge tasks (bio-entity extraction and indexing, document ranking for triage, relation extraction); we can encourage the development of an inventory of capabilities that can then be rapidly adapted to the specific needs of biocurators.
In this paper we focus on the Relation Extraction task between named entities, but not on anaphoric relations between NEs such as identity.
Chalhoub-Deville (2009) and Schwabe et al. (2016) favor "reciprocal interaction," which regards person and task as inseparable entities that change one another over time.
Our studies provide valuable insights into the NER task for medical entities in clinical text.
Although the focus of this paper has been on the specific task of named entity recognition for the key entity classes associated with T4SSs, our future plans emphasize the application of this component technology to enhance semantic search and information extraction, both broadly and for this specific domain of interest.
Since several map tasks can read entities in parallel and process them, the reduce adds one more load balancing level between the map task and the reduce task for the purpose of decreasing the overload on these tasks.
