Spanish NER with Word Representations and Conditional Random Fields

LILI: A Simple Language Independent Approach for Language Identification

We introduce a generic Language Independent Framework for Linguistic Code Switch Point Detection. The system uses characters level 5-grams and word level unigram language models to train a conditional random fields (CRF)…

Ab Initio: Automatic Latin Proto-word Reconstruction

Proto-word reconstruction is central to the study of language evolution. It consists of recreating the words in an ancient language from its modern daughter languages. In this paper we investigate automatic word form rec…

Deep neural model with enhanced embeddings for pharmaceutical and chemical entities recognition in Spanish clinical text

In this work, we introduce a Deep Learning architecture for pharmaceutical and chemical Named Entity Recognition in Spanish clinical cases texts. We propose a hybrid model approach based on two Bidirectional Long Short-T…

Automatic Chinese Confusion Words Extraction Using Conditional Random Fields and the Web

VSP at PharmaCoNER 2019: Recognition of Pharmacological Substances, Compounds and Proteins with Recurrent Neural Networks in Spanish Clinical Cases

This paper presents the participation of the VSP team for the PharmaCoNER Tracks from the BioNLP Open Shared Task 2019. The system consists of a neural model for the Named Entity Recognition of drugs, medications and che…