most citedThe GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

52 citations · 118 across the 8 of their papers we have counts for

collaborators

9 papers

cs.DB202123 cited

Reusable Templates and Guides For Documenting Datasets and Models for Natural Language Processing and Generation: A Case Study of the HuggingFace and GEM Data and Model Cards

Angelina McMillan-Major, Salomey Osei, Juan Diego Rodriguez +3

Developing documentation guidelines and easy-to-use templates for datasets and models is a challenging task, especially given the variety of backgrounds, skills, and incentives of…

cs.LG202110 cited

The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks

Salva Rühling Cachay, Emma Erickson, Arthur Fender C. Bucker +5

Deep learning-based models have recently outperformed state-of-the-art seasonal forecasting models, such as for predicting El Niño-Southern Oscillation (ENSO). However, current dee…

cs.CL20215 cited

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…

cs.CL20214 cited

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…

cs.CL202152 cited

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics

Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal +53

We introduce GEM, a living benchmark for natural language Generation (NLG), its Evaluation, and Metrics. Measuring progress in NLG relies on a constantly evolving ecosystem of auto…

cs.CL20213 cited

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…