Pinned Repositories
a-PyTorch-Tutorial-to-Sequence-Labeling
Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
cwi
State of the art complex word identification models.
cwi_2018
Complex Word Identification (CWI) Shared Task 2018
lexical_simplification
multilingual-gaze
Code for "Multilingual language models predict human reading behavior"
Nature-Inspired-Search-Optimisation-
Projects completed on using nature inspired search and optimisation algorithms to solve NP hard problems.
onestop-qa
personal_CWI
Dataset for personalised CWI
readability_scroll
Dataset containing scroll interactions of 598 partcipants reading advanced and elementary texts from the OneStopEnglish corpus
thesis
A LaTeX document class that conforms to the Computer Laboratory's PhD thesis formatting guidelines.
siangooding's Repositories
siangooding/lexical_simplification
siangooding/readability_scroll
Dataset containing scroll interactions of 598 partcipants reading advanced and elementary texts from the OneStopEnglish corpus
siangooding/cwi
State of the art complex word identification models.
siangooding/cwi_2018
Complex Word Identification (CWI) Shared Task 2018
siangooding/Nature-Inspired-Search-Optimisation-
Projects completed on using nature inspired search and optimisation algorithms to solve NP hard problems.
siangooding/personal_CWI
Dataset for personalised CWI
siangooding/thesis
A LaTeX document class that conforms to the Computer Laboratory's PhD thesis formatting guidelines.
siangooding/a-PyTorch-Tutorial-to-Sequence-Labeling
Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
siangooding/multilingual-gaze
Code for "Multilingual language models predict human reading behavior"
siangooding/onestop-qa
siangooding/rlhf_agreement_datasets
siangooding/seaborn-data
Data repository for seaborn examples
siangooding/sequence-labeler
Neural network sequence labeling model
siangooding/siangooding.github.io
siangooding/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.