dadelani Goto Github PK

academic-budget-bert

aclpub2

adaptabert

Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling

afriberta

AfriBERTa: Exploring the Viability of Pretrained Multilingual Language Models for Low-resourced Languages

africa-ner

africanlp-public-datasets

A repository for publicly/freely available Natural Language Processing (NLP) datasets for African languages.

africanlp-resources

List of all the resources I developed in collaboration with LSV and Masakhane during my doctoral studies and beyond

alfa

Source code for NeurIPS 2020 paper "Meta-Learning with Adaptive Hyperparameters" (previously titled "Adaptive Learning for Fast Adaptation")"

ammicourse

anec-an-amharic-named-entity-corpus-

A Dataset for Amharic Named Entity Recognition

arae

Code for the paper "Adversarially Regularized Autoencoders (ICML 2018)" by Zhao, Kim, Zhang, Rush and LeCun

auditing-text-generation

Code for Auditing Data Provenance in Text-Generation Models (in KDD 2019)

autodp

autodp: A flexible and easy-to-use package for differential privacy

bbc-crawler

crawl news documents from BBC Arabic

bbc-crawler-1

bert-ner

Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.

bilstm-crf

A Pytorch implementation for NER using BiLSTM-CRF

cdma-ner

character-level-cnn-pytorch

Character-level CNN for text classification

charcnn_keras

The implementation of text classification using character level convoultion neural networks using Keras

composable-sft

conll-formatted-ontonotes-5.0

This is a CoNLL formatted version of the OntoNotes 5.0 release.

controllable-text-attribute-transfer

Code for "Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation" (NeurIPS 2019)

cptg

implementation of Content preserving text generation with attribute controls in Pytorch

cross-domain_ner

Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper

crossner

CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)

dadelani.github.io

David Adelani website

dadelani2.github.io

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

deberta

The implementation of DeBERTa