A Natural Portuguese Language Benchmark (Napolab) for the evaluation of language models.

textual entailment experiments on Mednli dataset.

Notebook for running GPT-J/GPT-J-6B – the cost-effective alternative to ChatGPT, GPT-3 & GPT-4 for many NLP tasks. Available on IPUs as a Paperspace notebook.

Multilingual retrieval, ranking and natural language inference with transformers (mBERT); PyTorch implementation code for article in European Conference on Information Retrieval (ECIR2021)

Prove Ducth NLI problems of SICK-NL with LangPro

FarsTail: a Persian natural language inference dataset

Japanese Realistic Textual Entailment Corpus (NLP 2020, LREC 2020)

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.

This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…

Supporting code for the paper "Portuguese Language Models and Word Embeddings: Evaluating on Semantic Similarity Tasks".

Textual Entailment Using Pytorch BERT pretrained model

A thorough research on multi-task learning

Detect entailment and contradiction in multilingual text using transfer learning and data augmentation

This repository is part of my bachelor’s thesis 'Recognising Textual Entailment for Dutch using Dependency Analysis'.

A comprehensive suite of high-level NLP tasks for Persian language

Recurrent neural network architectures in TensorFlow for predicting textual entailment.

Sentence Transformative Inference Mapping for Python

Implementing a deep learning model that recognizes the textual entailment relation between two sentences, the premise and the hypothesis

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