swabhs/joint-lstm-parser
Transition-based joint syntactic dependency parser and semantic role labeler using a stack LSTM RNN architecture.
This tool helps computational linguists and NLP researchers automatically analyze sentences to understand their grammatical structure and the semantic roles of words. You provide raw text data in CoNLL 2009 format, and it outputs files with predicted syntactic dependencies (e.g., subject-verb relationships) and semantic roles (e.g., who did what to whom). It's designed for someone working on advanced natural language understanding tasks.
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Use this if you need to perform detailed syntactic and semantic analysis on text data to understand sentence structure and meaning for research or application development.
Not ideal if you're looking for a simple, off-the-shelf NLP library for basic tasks like tokenization or part-of-speech tagging without deep linguistic analysis.
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C++
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Last pushed
Apr 05, 2017
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