A Framework for Textual Entailment based Zero Shot text classification
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Updated
Mar 18, 2024 - Python
A Framework for Textual Entailment based Zero Shot text classification
pytorch implementation of various models for snli and mnli task
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 models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
Discourse Based Evaluation of Language Understanding
Adversarial evaluation of model performances [Updated]
Model Evaluation using SNLI Development Set
Emotion detection microservice based on natural language inference
Model Evaluation using WANLI Test Set
Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
Taxonomic fragmentation of the NLI task. Data accompanying CoNLL 2020 paper titled "TaxiNLI: Taking a Ride up the NLU Hill"
Deep Learning for NLP
Implementation of the semi-structured inference model in our ACL 2020 paper. INFOTABS: Inference on Tables as Semi-structured Data
Fine-tuning LLMs with LoRA
Model Evaluation using SuperGLUE Diagnostic Dataset
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