DengBoCong/Competition
Solutions for NLP-related competition
This project compiles and shares code solutions from various Natural Language Processing (NLP) competitions, specifically those hosted on platforms like Tianchi and Kaggle. It takes competition problem descriptions and datasets as input and produces high-performing models and solutions for tasks such as weather prediction or text understanding. Data scientists, machine learning engineers, and NLP researchers looking to learn from or adapt proven competition strategies would find this useful.
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Use this if you are participating in or studying past NLP-focused data science competitions and want to review successful approaches.
Not ideal if you are looking for a general-purpose NLP library for day-to-day application development or a step-by-step tutorial for basic NLP concepts.
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Apr 09, 2021
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