xuuuluuu/SynLSTM-for-NER
Code and models for the paper titled "Better Feature Integration for Named Entity Recognition", NAACL 2021.
This project helps natural language processing engineers and researchers improve how computer programs identify and categorize specific types of information in text, like names, locations, or organizations. It takes text data, optionally with pre-computed contextual embeddings, and outputs improved named entity recognition models. The primary users are those working on advanced NLP systems who need highly accurate entity extraction.
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Use this if you are an NLP practitioner looking to train or evaluate state-of-the-art named entity recognition models that integrate various linguistic features for better performance.
Not ideal if you are looking for a simple, off-the-shelf named entity recognition tool without needing to dive into model training or feature engineering.
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Language
Python
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Last pushed
Nov 05, 2021
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