Welcome to the Neural Language Interface (NLI) Explain project! This repository is dedicated to exploring and explaining the decision-making process of BERT models in the context of Natural Language Inference (NLI) tasks. We employ Feature Interaction methods to shed light on why BERT makes specific predictions in NLI.

A new evaluation mechanism and a learning strategy for de-biased and interpretable NLI models. Models co-learn sentence classification and evidence retrieval for the classification.

Natural Language Inference in Hindi using Automated Theorem Proving

Probing handling of verbal probabilities in NLP models

Bachelor Thesis comparing two Relation-Inference Datasets

TensorFlow code and pre-trained models for BERT

Learning Code for Natural Language Processing

EQUATE (Evaluating Quantitative Understanding Aptitude in Textual Entailment), framework for evaluating quantitative reasoning ability in textual entailment.

Natural language processing including Datasets,Farsi NLP, Automated Essay Scoring, Automatic Speech Recognition and etc.

Natural Language Inference problems specialized for spatial semantics & reasoning

First Zero-Shot Topic Classification for Persian

Practice end-to-end with NLI project using BERT, RoBERTa, Flask, DB, Docker, AWS

Forth Assignment in ׳Deep Learning for Texts and Sequences' course by Prof. Yoav Goldberg at Bar-Ilan University

Natural Language Inference on Farstail dataset using hugging face transformers

Code Repository for Paper: Multilingual Question Answering System Utilizing Natural Language Inference.

📃⚖️🙅 Pipeline to detect contradictions in policy documents using NLP and transformers.

Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference

Barba is a multilingual natural language inference model for textual entailment and zero-shot text classification, available as an end-to-end service through TensorFlow Serving.

Logical inference system based on event semantics and degree semantics in formal semantics

[EMNLP2022] BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples