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Named Entity Recognition using Bidirectional LSTM CRF (Bi-LSTM-CRF) network.

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Named Entity Recognition

Named Entity Recognition using Bidirectional LSTM CRF (Bi-LSTM-CRF) network.

In Natural Language Processing (NLP) an Entity Recognition is one of the common problem. The entity is referred to as the part of the text that is interested in. In NLP, NER is a method of extracting the relevant information from a large corpus and classifying those entities into predefined categories such as location, organization, name and so on. Information about lables:

geo = Geographical Entity org = Organization per = Person gpe = Geopolitical Entity tim = Time indicator art = Artifact eve = Event nat = Natural Phenomenon

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Named Entity Recognition using Bidirectional LSTM CRF (Bi-LSTM-CRF) network.

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