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
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
Re-implementation of BIMPM(Bilateral Multi-Perspective Matching for Natural Language Sentences)
NLI using BiLSTM and Logistic regression (using tf-idf features)
Keras implementation of ESIM model for Natural Language Inference.
Different demos of semantic parser models, plays related to different state-of-the-art models in converting natural language questions to structured queries such as SQL
Implementation of models in our EMNLP 2019 paper: A Logic-Driven Framework for Consistency of Neural Models
Learning to Infer from Unlabeled Data: A Semi-supervised Learning Approach for Robust Natural Language Inference
A PyTorch Based Deep Learning Quick Develop Framework. One-Stop for train/predict/server/demo
Fine-tuning and zero-shot learning with transformers to automatically tag my study blog posts
Natural Language Inference problems specialized for spatial semantics & reasoning
Antibodies for LLMs hallucinations (grouping LLM as a judge, NLI, reward models)
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