Bachelor Thesis comparing two Relation-Inference Datasets
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Updated
Sep 25, 2017 - Python
Bachelor Thesis comparing two Relation-Inference Datasets
Implementation of the semi-structured inference model in our ACL 2020 paper. INFOTABS: Inference on Tables as Semi-structured Data
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).
Welcome to the Neural Language Interface (NLI) Explain project! This repository is dedicated to exploring and explaining the decision-making process of BERT models in the context of Natural Language Inference (NLI) tasks. We employ Feature Interaction methods to shed light on why BERT makes specific predictions in NLI.
Probing handling of verbal probabilities in NLP models
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…
[EMNLP2022] BioNLI: Generating a Biomedical NLI Dataset Using Lexico-semantic Constraints for Adversarial Examples
Assignments and projects from the interpretable natural language processing course offered at the University of Tehran.
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
NLI using BiLSTM and Logistic regression (using tf-idf features)
XNLIeu: a dataset for cross-lingual NLI in Basque
Keras implementation of ESIM model for Natural Language Inference.
VerifAI project is NGI Search funded initiative to build open-source biomedical generative question-answering engine with referenced and verifiable answers (using posteriori model)
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