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
attention model for entailment on SNLI corpus implemented in Tensorflow and Keras
A pyTorch implementation of models used for Recognizing Textual Entailment using the SNLI corpus
TUM_AI_WS1516: The parser module reads ASCII strings and converts them into propositional logic formula. The entailment module reads two parsed propositional logic formulae A and B, and then it decides whether A != B or not.
A presentation and Accompanying notebook for the Entailment with Tensorflow article.
Using Tensorflow and the HuggingFace transformer library along with Weights and Biases sweeps to classify entailment in text, for the Kaggle competition "Contradictory, My Dear Watson".
An NLP project which makes use of tensorflow for hypothesis testing.
This repository shows how to implement a basic model for multimodal entailment.
Semantic Web college project files.
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
The medical question entailment data introduced in the AMIA 2016 Paper (Recognizing Question Entailment for Medical Question Answering)
Challenge on Textual Inference and Question Entailment in the Medical Domain https://sites.google.com/view/mediqa2019
Repo for the PLANE benchmark, introduced in the COLING 2022 paper: Testing Large Language Models on Compositionality and Inference with Phrase-Level Adjective-Noun Entailment
Official implementation of the ACL 2023 paper: "Zero-shot Faithful Factual Error Correction"
Game code and data for Fool Me Twice: Entailment from Wikipedia Gamification https://arxiv.org/abs/2104.04725
Probing handling of verbal probabilities in NLP models
This repository is for the paper Paraphrase Identification via Textual Inference. In Proceedings of the 13th Joint Conference on Lexical and Computational Semantics (*SEM 2024), Mexico City, Mexico. Association for Computational Linguistics.
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