Bachelor Thesis comparing two Relation-Inference Datasets

finetune the language model for task of natural language inference

Mitigating a language model's over-confidence with NLI predictions on Multi-NLI hypotheses with random word order using PAWS (paraphrase) and Winogrande (anaphora).

We augmented an already existing BERT Tiny Transformer network designed to train the Google NQ dataset to randomly sample some of the tokens in a question with its synonyms. The idea comes from the process of image data augmentation used in computer vision pipelines. This experiment directly tackles the concepts of Natural Language Inference and…

Natural Language Inference, SNLI dataset

Re-implementation of BIMPM(Bilateral Multi-Perspective Matching for Natural Language Sentences)

This repository is an implementation of Paper "Robust Natural Language Inference Models with Example Forgetting", which studies importance of forgettable example in making robust NLI Models

XNLIeu: a dataset for cross-lingual NLI in Basque

Project on a Natural Language Processing (NLP) task known as Natural Language Inference (NLI) for the Bahasa Indonesia language.

Assignments and projects from the natural language processing course offered at the University of Tehran.

This repository contains the code and models for the LegalLens-2024 shared task, which detects legal violations in unstructured text and associates them with affected individuals using transformer models like BERT, RoBERTa, and DeBERTa for Named Entity Recognition (L-NER) and Natural Language Inference (L-NLI).

Fine-tune transformers with NLI data

Data, models, analysis scripts, experiment materials and environments that I used for my MA thesis can be accessed in this repository.

Enrich Wikidata with MARC standards

Intermediate test set and HANS evaluations while training MNLI and BoolQ models. Based on huggingface/transformers.

We provide the code used to produce the models and analyses of our article: Finding Conflicts of Opinion in Citizen Participation Platforms

Precondition inference

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