XuezheMax/NeuroNLP2
Deep neural models for core NLP tasks (Pytorch version)
This project offers pre-built deep learning models to analyze text, extracting key linguistic structures. You input raw text or pre-processed linguistic datasets, and it outputs things like part-of-speech tags (e.g., noun, verb), named entities (e.g., person, organization), or grammatical dependency trees showing word relationships. It's designed for researchers and practitioners in natural language processing (NLP) who need to apply or experiment with advanced text analysis.
440 stars. No commits in the last 6 months.
Use this if you are an NLP researcher or practitioner who needs to apply or evaluate state-of-the-art deep learning models for tasks like sequence labeling or dependency parsing on various text datasets.
Not ideal if you are looking for a simple, off-the-shelf API for general text analysis without needing to manage model training or dataset preparation.
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440
Forks
90
Language
Python
License
GPL-3.0
Category
Last pushed
Feb 01, 2022
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