pratapbhanu/CRCNN
Classifying Relations by Ranking with Convolutional Neural Networks
This helps researchers in natural language processing automatically categorize the relationships between entities mentioned in text. You input a collection of sentences with identified entities, and it outputs classifications of how those entities relate to each other (e.g., 'cause-effect', 'part-whole'). This tool is for NLP practitioners, computational linguists, or academic researchers working with text analysis.
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Use this if you need to identify and classify the semantic relationships between pairs of entities within sentences.
Not ideal if you're looking for a user-friendly, out-of-the-box solution without needing to set up a machine learning environment or prepare specific datasets.
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Language
Python
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Last pushed
Jul 19, 2018
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