Alibaba-NLP/ACE
[ACL-IJCNLP 2021] Automated Concatenation of Embeddings for Structured Prediction
This framework helps machine learning engineers and NLP researchers improve the accuracy of models that process text to extract specific information. It takes text data, often with existing labels (like identifying names or locations), and automatically finds the best combination of text representations (embeddings) to achieve state-of-the-art results. The output is a more accurate predictive model for tasks like named entity recognition or sentiment analysis.
312 stars. No commits in the last 6 months.
Use this if you need to develop highly accurate natural language processing models for tasks like identifying entities, parts of speech, or sentiment in text.
Not ideal if you are not comfortable working with machine learning frameworks or if you need a pre-built, ready-to-deploy solution without customization.
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312
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47
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Python
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Last pushed
Dec 02, 2022
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