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Transfer Learning for Named Entity Recognition in Setswana Language Using CNN-BiLSTM Model

Record type:

paper

Creator:

ShuSunPiu

Publisher:

The

Host:

Visit

Tasks

information extraction named entity recognition transfer learning

Languages

Similar

CNN to BiLSTM: Enhancing Setswana Named Entity RecognitionNamed Entity Recognition for Hadiyya Language using BiLSTM-CRF ModelA Convolutional Neural Network Model for Setswana Named Entity Recognitionarmin-pousti/Language-Transfer-in-Named-Entity-RecognitionMasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity RecognitionAnyuak Language Named Entity Recognition Using Deep Learning Approach

CNN to BiLSTM: Enhancing Setswana Named Entity Recognition

Abstract In order to handle Named entity recognition (NER) in the Setswana language, thi

Named Entity Recognition for Hadiyya Language using BiLSTM-CRF Model

A Convolutional Neural Network Model for Setswana Named Entity Recognition

Named entity recognition (NER) is a key component of the core task of natural language processing (N

armin-pousti/Language-Transfer-in-Named-Entity-Recognition

This project evaluates five NER models, from statistical to neural, across seven languages, includin

MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition

African languages are spoken by over a billion people, but are underrepresented in NLP research and

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