GSoC

Hello! In this blog, we will discuss about entity linking, a process used to map recognized entities to resources in a knowledge base, like DBpedia. Background Entity linking is the process of linking or mapping entity mentions(the identified entities in a text) to actual resources in a knowledge base. This is an important step towards our ultimate goal of relation extraction. Entity mentions in text need not be exactly same as the entities in the knowledge base, so it is very essential that we map them to the correct entity(in the KB) so as to extract correct relations. It is an important step which acts as a bridge to connect unstructured text to knowledge bases. ...

Hi! In this post, I will be talking about NER, a very popular and important task in NLP! Background Named Entity Recognition, which is a subtask of natural language processing (NLP), involves identifying and classifying named entities within a given text. The goal is to identify and categorize the entities present in text. This also forms a step in our goal of relation extraction. Entities present in text can be calssified(broadly) into a variaty of types like PERSON, ORGANIZATION, LOCATION, TIME, etc. It is easy for humans to identify and categorize entities from text. When we read or hear a sentence like "Messi is a football player of Argentina", we can easily identify that Messi is a person and Argentina is a location/country. Identifying these further helps us understand the relation between them, in this case, the relation is - player of. We can think of named entities as answers to wh questions like Who, What, When ,Where etc. in a sentence. But it is not as easy for a machine to understand and process text as we do. For this, we need either rule based methods or machine learning/deep learning approaches. ...