Shypd.aiThe largest open index of AI toolssequence_tagging is an open-source research tool that implements Named Entity Recognition (NER) using Tensorflow. It leverages LSTM, CRF, and character embeddings for state-of-the-art sequence tagging.
Trending
About
sequence_tagging is an open-source project hosted on GitHub, providing a robust implementation of Named Entity Recognition (NER) using Tensorflow. This tool utilizes a combination of Long Short-Term Memory (LSTM) networks, Conditional Random Fields (CRF), and character embeddings to achieve state-of-the-art performance in sequence tagging tasks. It is particularly well-suited for researchers and NLP engineers focused on information extraction. The repository includes detailed instructions for setting up the environment, building training data, and evaluating the model, making it accessible for those looking to implement or experiment with advanced NER models. The project also provides guidance on data formatting, aligning with the CoNLL2003 dataset structure, and offers configuration options for integrating pre-trained word vectors like GloVe.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
