This is your work, valued
Assistant Professor at Charles University in Prague - NLG, Dialogue, NLP
e2e-metrics. E2E NLG Challenge Evaluation metrics
93e2e-dataset. The E2E NLG Challenge Dataset
28e2e-cleaning. Cleaned E2E NLG Challenge data + supporting scripts
24ratpred. Referenceless quality estimation for natural language generation – predicting human ratings
8context-menu. A simple Windows application that displays a ContextMenu for a given file
5qsubmit. Wrapper for batch engine submission commands (remake of Obo's Perl qsubmit)
5e2e-eval. E2E NLG Challenge – outputs of participating systems & raw human ratings
5GEM-metrics. Automatic metrics for GEM tasks
2qload. Son of Grid Engine/Sun Grid Engine queue load checker (parsing qstat)
2multi_loss_example. A simple example for multiple losses with PyTorch
1en-deep. MLProcess – a framework for batch parallel processing of various NLP tasks
1customize. My Linux settings
1e2e_challenge_web. E2E NLG Challenge Webpage
1e2e-stats. Helper scripts used to compute statistics for the E2E NLG dataset + other datasets from the domain (BAGEL, SFREST)
1wmt-trueskill. Data and code used in the 2014 WMT, "Efficient Elicitation of Annotations for Human Evaluation of Machine Translation"
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