VizSeq: A Visual Analysis Toolkit for Text Generation Tasks
it's a visual analysis toolkit for {text, image, audio, video}-to-text generation system evaluation, dataset analysis, and benchmark hosting.
supports multimodal sources and multiple text references, providing visualization in Jupyter notebook or a web app interface.
also, it can be used locally or deployed onto public servers for centralized data hosting and benchmarking; covers most common n-gram based metrics accelerated with multiprocessing and also provides the latest embedding-based metrics such as BERTScore
Paper: https://arxiv.org/abs/1909.05424
Code: https://github.com/facebookresearch/vizseq
#computation #language #emnlp2019
it's a visual analysis toolkit for {text, image, audio, video}-to-text generation system evaluation, dataset analysis, and benchmark hosting.
supports multimodal sources and multiple text references, providing visualization in Jupyter notebook or a web app interface.
also, it can be used locally or deployed onto public servers for centralized data hosting and benchmarking; covers most common n-gram based metrics accelerated with multiprocessing and also provides the latest embedding-based metrics such as BERTScore
Paper: https://arxiv.org/abs/1909.05424
Code: https://github.com/facebookresearch/vizseq
#computation #language #emnlp2019
