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A project during my Master studies at UvA in cooperation with Ekaterina Shutova and a team from Facebook AI Research.
Research code used to implement SoTA joint morphological taggers and lemmatizers in context. Reproduction and extension of the SIGMORPHON/CONLL 2019 Shared Task 2.
A project for training foundational Danish language model
Lightning fast, lightweight, and reliable kernel density estimation for 1d and 2d samples
news-please - an integrated web crawler and information extractor for news that just works
Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?
A playbook for systematically maximizing the performance of deep learning models.
Datasets for fake news and misinformation detection
Repository containing the official code for the paper Graph-based Modeling of Online Communities for Fake News Detection.
Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons
COLING 2022: A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection.
Python wrapper for the Politifact REST API
A collection of GNN-based fake news detection models.
Paper Lists for Graph Neural Networks
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
Universal Dependencies online documentation
Sampling-Based Minimum Bayes-Risk Decoding for Neural Machine Translation
Assignment for NLP2 on probing language models
Code for "Generative causal explanations of black-box classifiers"
A PyTorch Library for Meta-learning Research
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
UFAL-Prague entry to the Sigmorphon 2019 Shared Task 2
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.