lancopku/SAPO
C# code for "Towards Easier and Faster Sequence Labeling for Natural Language Processing: A Search-based Probabilistic Online Learning Framework (SAPO)" (Information Sciences)
This project helps natural language processing (NLP) practitioners, like data scientists or computational linguists, efficiently label sequences of text. It takes raw, unlabeled text and outputs accurately tagged sequences, which is crucial for tasks like named entity recognition or part-of-speech tagging. This tool is for anyone building NLP models who needs to quickly and accurately prepare textual data for training.
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Use this if you need to perform sequence labeling on natural language text, such as identifying proper nouns or grammatical categories, and want an easier and faster way to achieve high accuracy.
Not ideal if your task is not related to labeling sequences within text, or if you are looking for a pre-trained model rather than a framework for training your own.
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Last pushed
Nov 19, 2018
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