10 citations · 28 across the 5 of their papers we have counts for
6 papers
English-Twi Parallel Corpus for Machine Translation
Paul Azunre, Salomey Osei, Salomey Addo +24
We present a parallel machine translation training corpus for English and Akuapem Twi of 25,421 sentence pairs. We used a transformer-based translator to generate initial translati…
NLP for Ghanaian Languages
Paul Azunre, Salomey Osei, Salomey Addo +24
NLP Ghana is an open-source non-profit organization aiming to advance the development and adoption of state-of-the-art NLP techniques and digital language tools to Ghanaian languag…
Contextual Text Embeddings for Twi
Paul Azunre, Salomey Osei, Salomey Addo +24
Transformer-based language models have been changing the modern Natural Language Processing (NLP) landscape for high-resource languages such as English, Chinese, Russian, etc. Howe…
Using Deep Networks and Transfer Learning to Address Disinformation
Numa Dhamani, Paul Azunre, Jeffrey L. Gleason +4
We apply an ensemble pipeline composed of a character-level convolutional neural network (CNN) and a long short-term memory (LSTM) as a general tool for addressing a range of disin…
Semantic Classification of Tabular Datasets via Character-Level Convolutional Neural Networks
Paul Azunre, Craig Corcoran, Numa Dhamani +6
A character-level convolutional neural network (CNN) motivated by applications in "automated machine learning" (AutoML) is proposed to semantically classify columns in tabular data…
Abstractive Tabular Dataset Summarization via Knowledge Base Semantic Embeddings
Paul Azunre, Craig Corcoran, David Sullivan +4
This paper describes an abstractive summarization method for tabular data which employs a knowledge base semantic embedding to generate the summary. Assuming the dataset contains d…