Extensible and Scalable Entity Resolution for Financial Datasets Using RLTK

The most common Named Entity Recognizers are usually sequence taggers trained on fully annotated corpora, i.e. the class of all words for all entities is known. Partially annotated corpora, i.e. some but not all entities of some types are ...

We shall demonstrate ${\mathtt{LODsyndesis}}_{\mathit{IE}}$, which is a research prototype that offers Entity Extraction from text and Entity Enrichment for the extracted entities, using several Linked Datasets. ${\mathtt{LODsyndesis}}_{\mathit{IE}}$ exploits widely used Named Entity Extraction ...${\mathtt{}}_{\mathit{}}$

Named entities in text are persons, places, companies, etc. that are explicitly mentioned in text using proper nouns. The process of finding named entities in a text and classifying them to a semantic type, is called named entity recognition. Resolution ...