HAREM: the first evaluation contest for Named Entity Recognition in Portuguese

Adapting an Entity Centric Model for Portuguese Coreference Resolution

This paper presents the adaptation of an Entity Centric Model for Portuguese coreference resolution, considering 10 named entity categories. The model was evaluated on named e using the HAREM Portuguese corpus and the re…

Boosting Named Entity Recognition with Neural Character Embeddings

Most state-of-the-art named entity recognition (NER) systems rely on handcrafted features and on the output of other NLP tasks such as part-of-speech (POS) tagging and text chunking. In this work we propose a language-in…

HAREM and Klue: how to put two tagsets for named entities annotation together

Portuguese Named Entity Recognition using BERT-CRF

Recent advances in language representation using neural networks have made it viable to transfer the learned internal states of a trained model to downstream natural language processing tasks, such as named entity recogn…

An HMM Based Named Entity Recognition System for Indian Languages: The JU System at ICON 2013

This paper reports about our work in the ICON 2013 NLP TOOLS CONTEST on Named Entity Recognition. We submitted runs for Bengali, English, Hindi, Marathi, Punjabi, Tamil and Telugu. A statistical HMM (Hidden Markov Models…