abasirat
Assistant Professor in Computational Linguistics and Natural Language Processing
University of CopenhagenUniversity of Copenhagen
Pinned Repositories
abasirat.github.io
boltzmann-machines
Boltzmann Machines in TensorFlow with examples
diffdp
Differentiable Perturb-and-Parse operator
LingInfo-in-WordEmbeddings
llm-adapter
A plug-and-play adapter architecture that efficiently adapts large language models to downstream tasks. Essential for client-server architecture language model services. A practical approach to adapting LLMs' hidden activations without modifying the base model.
principal_word_vectors
We use principal component analysis for word embedding. The method is able to process both annotated and raw corpora.
Shifted-Randomized-SVD
An extention of the randomized singular value decomposition (SVD) algorithm to estimate the SVD of a shifted data matrix without explicitly constructing the matrix in the memory. With no loss in the accuracy of the original algorithm, the extended algorithm provides for a more efficient way of matrix factorization. The algorithm facilitates the low-rank approximation and principal component analysis (PCA) of off-center data matrices. When applied to different types of data matrices, our experimental results confirm the advantages of the extensions made to the original algorithm.
ud-tagger
A multi-task neural network model for multi-tagging of natural languages
UDP
uuparser
A transition-based parser for Universal Dependencies with BiLSTM word and character representations.
abasirat's Repositories
abasirat/principal_word_vectors
We use principal component analysis for word embedding. The method is able to process both annotated and raw corpora.
abasirat/llm-adapter
A plug-and-play adapter architecture that efficiently adapts large language models to downstream tasks. Essential for client-server architecture language model services. A practical approach to adapting LLMs' hidden activations without modifying the base model.
abasirat/ud-tagger
A multi-task neural network model for multi-tagging of natural languages
abasirat/abasirat.github.io
abasirat/boltzmann-machines
Boltzmann Machines in TensorFlow with examples
abasirat/diffdp
Differentiable Perturb-and-Parse operator
abasirat/LingInfo-in-WordEmbeddings
abasirat/Shifted-Randomized-SVD
An extention of the randomized singular value decomposition (SVD) algorithm to estimate the SVD of a shifted data matrix without explicitly constructing the matrix in the memory. With no loss in the accuracy of the original algorithm, the extended algorithm provides for a more efficient way of matrix factorization. The algorithm facilitates the low-rank approximation and principal component analysis (PCA) of off-center data matrices. When applied to different types of data matrices, our experimental results confirm the advantages of the extensions made to the original algorithm.
abasirat/UDP
abasirat/uuparser
A transition-based parser for Universal Dependencies with BiLSTM word and character representations.