jbarrow/allennlp_tutorial
Tutorial on how to use AllenNLP for sequence modeling (including hierarchical LSTMs and CRF decoding)
This tutorial guides you through building and experimenting with deep learning models for natural language processing. It teaches you how to input raw text data, configure experiments, and produce models capable of understanding and processing sequences of text. This resource is for NLP researchers, data scientists, and machine learning engineers who want to develop or improve their NLP models using a structured framework.
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Use this if you are an NLP researcher or data scientist looking to systematically build and evaluate deep learning models for text, using a robust framework.
Not ideal if you are looking for a pre-trained, ready-to-use NLP model or a high-level API for simple text tasks without deep learning experimentation.
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Python
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MIT
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Last pushed
Sep 01, 2022
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