multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
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Updated
Nov 21, 2022 - Python
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
attention model for entailment on SNLI corpus implemented in Tensorflow and Keras
Challenge on Textual Inference and Question Entailment in the Medical Domain https://sites.google.com/view/mediqa2019
A pyTorch implementation of models used for Recognizing Textual Entailment using the SNLI corpus
Official implementation of the ACL 2023 paper: "Zero-shot Faithful Factual Error Correction"
Semantic Web college project files.
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.
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.
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".
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