Relationship extraction or relation extraction is the process of extracting the relationships between two entities in unstructured sources such as raw text in a sentence. There are mainly two entities – person/organization or location that come under the semantic categories. Whereas relation extraction NLP is a kind of supervised relation extraction for NLP in machine learning. Cogito is enabling businesses across the globe to delivers service of relation extraction with deep learning NLP.
Human language is inherently noisy and many words and phrases can be vague or grammatically incorrect or have been spelled errors, hence mistakes are frequent. So, relationship extraction done professionally helps us to combine them as being informed about the same person/organization. Labeling the data is a challenging task in relationship extraction, but at Cogito we can address such limitations with precise extraction of texts to get the crucial information.
Supervised machine learning for a set of relations is chosen to extract the relevantly named entities. Cogito is doing the relationship extraction and accurately hand-labeling the relation between these entities to provide the extracted information for supervised machine learning training. Cogito can extract the named entities in the corpus with a best-in-class supervised relation extraction team with expertise in named entity recognition services.