A Framework for Textual Entailment based Zero Shot text classification

pytorch implementation of various models for snli and mnli task

Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models

Benchmarking various Deep Learning models such as BERT, ALBERT, BiLSTMs on the task of sentence entailment using two datasets - MultiNLI and SNLI.

Discourse Based Evaluation of Language Understanding

Implementation of the Character-level Intra Attention Network (CIAN) for Natural Language Inference (NLI) upon SNLI and MultiNLI corpus

An application that summarizes and classifies long text using zero-shot transfer-learning hosted on Huggingface spaces.

Implementation of the semi-structured inference model in our ACL 2020 paper. INFOTABS: Inference on Tables as Semi-structured Data

Deep Learning for NLP

Taxonomic fragmentation of the NLI task. Data accompanying CoNLL 2020 paper titled "TaxiNLI: Taking a Ride up the NLU Hill"

roBERTa pretrained on NLI task

Fine-tuning LLMs with LoRA

Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models

Emotion detection microservice based on natural language inference

Classification for hierarchical classes

Model Evaluation using SNLI Development Set

End of Studies internship Project, CRM integrable lead scoring solution developed under 3 main axis: training Machine Learning models on sales leads for database scoring of potential leads, Optimization of lead distribution under operational constraints for score maximization, and an MNLI module converted to engagement analysis, with score updating

Model Evaluation using SuperGLUE Diagnostic Dataset

Adversarial evaluation of model performances [Updated]