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VizSeq: a visual analysis toolkit for text generation tasks
Changhan Wang
|
Anirudh Jain
|
Danlu Chen
|
Jiatao Gu
|
Paper Details:
Month: November
Year: 2019
Location: Hong Kong, China
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
No Citations Yet
https://github.com/odashi/mteval
https://github.com/facebookresearch/vizseq
http://www.statmt.org/wmt14/translation-task.html
https://github.com/harvardnlp/sent-summary
https://www.statmt.org/wmt16/multimodal-task.html
https://sites.google.com/site/iwsltevaluation2017
https://github.com/tensorflow/tensorboard
https://github.com/facebookresearch/visdom
https://github.com/microsoft/tensorwatch
https://github.com/odashi/mteval
https://github.com/pytorch/fairseq
https://github.com/OpenNMT/OpenNMT-py
https://github.com/tensorflow/tensor2tensor
Field Of Study
Linguistic Trends
Embeddings
Task
Question Answering
Language Generation
Summarization
Machine Translation
ASR
Approach
Deep Learning
Language
Multilingual
English