Pinned Repositories
BilingualLanguageModelPreTraining
CGD
Implementation of Common Gradient Descent Algorithm
contextualized-topic-models
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.
Diffusion-Recommender-System
Reproduction and Extension of the Diffusion Recommender Paper: https://arxiv.org/abs/2304.04971
LSTM-Sentence-Encoders-from-Scratch
lxmls-toolkit
Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School
m-phate
Multislice PHATE for tensor embeddings
multilingual-clause-level-morphology-evaluation
For the evaluation of submission's to the shared task in multilingual clause-level morphology of MRL2022.
OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
wikiDataProcessingForQAandNER
Fenerator's Repositories
Fenerator/Diffusion-Recommender-System
Reproduction and Extension of the Diffusion Recommender Paper: https://arxiv.org/abs/2304.04971
Fenerator/wikiDataProcessingForQAandNER
Fenerator/BilingualLanguageModelPreTraining
Fenerator/CGD
Implementation of Common Gradient Descent Algorithm
Fenerator/contextualized-topic-models
A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021.
Fenerator/LSTM-Sentence-Encoders-from-Scratch
Fenerator/lxmls-toolkit
Machine Learning applied to Natural Language Processing Toolkit used in the Lisbon Machine Learning Summer School
Fenerator/m-phate
Multislice PHATE for tensor embeddings
Fenerator/multilingual-clause-level-morphology-evaluation
For the evaluation of submission's to the shared task in multilingual clause-level morphology of MRL2022.
Fenerator/OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Fenerator/tBERT
Code for the ACL 2020 paper 'tBERT: Topic Models and BERT Joining Forces for Semantic Similarity Detection'.
Fenerator/probabilistic-prompting-of-LLMs
Probabilistic Prompting of Language Models
Fenerator/QA_NER_Eval
Fenerator/Word-Embeddings-for-Semantic-Analysis
Implements word embeddings from scratch, using co-occurence counts with PMI weighting.