nli-tasks

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

Portuguese translation of the GLUE benchmark and Scitail dataset

[RoBERTa/KoELECTRA] 데이콘 한국어 문장 분류 경진 대회 5위 (2022.01~2022.02)

Natural Language Inference (NLI) is a crucial aspect of Natural Language Processing (NLP) that involves classifying the relationship between two sentences into categories such as entailment or contradiction. In this paper, we propose a novel approach for Arabic NLI utilizing pre-trained transformer models - Arabert-v2, Marbert , and Qarib...

Natural language inference task on SNLI and carried out POS tag probing

Natural Language Inference text classification using Spacy word embeddings + ESIM model and BERT contextualized embeddings.

Natural Language Inference for Clinical Trials

This project utilizes BERTopic and RoBERTa models to analyze the alignment of investment regulations in Indonesia.

Natural Language Inference task on adversarial FEVER dataset.

Modeling superficial signals in NLI tasks and testing models' abilities in capturing them.

An E2E pipeline for SemEval Task 11 (track A)