Robust feature-based classifiers for natural language inference
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Updated
Jun 13, 2015 - Gherkin
Robust feature-based classifiers for natural language inference
Bachelor Thesis comparing two Relation-Inference Datasets
Models for Nature Language Inference (Tensorflow Version), including 'A Decomposable Attention Model for Natural Language Inference', ..., to be continued.
Natural Language Inference, SNLI dataset
A model for handcrafted feature-based Natural Language Inference
Keras implementation of ESIM model for Natural Language Inference.
📃 📍 Predict how similar two sentences are using RNN, PyTorch.
Natural Language to SQL: A Natual Language Interface for querying SQL tables via FOL generation and grammar parsing.
Keras implementation (tensorflow backend) of natural language inference
Visualization tool for interpreting NLP models
Re-implementation of BIMPM(Bilateral Multi-Perspective Matching for Natural Language Sentences)
This repository is an implementation of Paper "Robust Natural Language Inference Models with Example Forgetting", which studies importance of forgettable example in making robust NLI Models
keras implementation for paper - Enhanced LSTM for Natural Language Inference, tested on Quora Question Pairs dataset.
Collection of papers on the related directions of Text Matching tasks
A Typed Event-Focused Lexical Inference Benchmark for Evaluating Natural Language Inference
Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
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