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

Game code and data for Fool Me Twice: Entailment from Wikipedia Gamification https://arxiv.org/abs/2104.04725

Official implementation of the ACL 2023 paper: "Zero-shot Faithful Factual Error Correction"

The medical question entailment data introduced in the AMIA 2016 Paper (Recognizing Question Entailment for Medical Question Answering)

This repository shows how to implement a basic model for multimodal entailment.

An NLP project which makes use of tensorflow for hypothesis testing.

Semantic Web college project files.

neural natural language inference

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.

Probing handling of verbal probabilities in NLP models

Robust feature-based classifiers for natural language inference

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

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".

Information Retrieval