erickrf/multiffn-nli
Implementation of the multi feed-forward network architecture by Parikh et al. (2016) for Natural Language Inference.
This tool helps analyze the relationship between two sentences, determining if one implies the other, contradicts it, or is unrelated. You input a pair of sentences, and it outputs a classification like 'entailment', 'contradiction', or 'neutral'. It's for computational linguists or natural language processing researchers developing or evaluating models for understanding textual relationships.
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Use this if you need to train and evaluate a model for Natural Language Inference tasks, particularly using a decomposable attention-based neural network architecture.
Not ideal if you need a pre-packaged, ready-to-use API for NLI in a production environment, or if you are not comfortable with Python and TensorFlow for model training and evaluation.
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Python
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MIT
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Last pushed
Feb 24, 2018
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