Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Installing dependencies for Ubuntu...
[sudo] password for uuu:
Reading package lists... Done
Building dependency tree
Reading state information... Done
coreutils is already the newest version (8.28-1ubuntu1).
libgoogle-perftools-dev is already the newest version (2.5-2.2ubuntu3).
libleveldb-dev is already the newest version (1.20-2).
libprotobuf-dev is already the newest version (3.0.0-9.1
Reading through the code I've found a lot of hidden and unexpected functionality. That functionality should be described on a document, specially the shortcuts, preferably within the tool so you can check them by holding F1.
Regarding the keys shortcuts, some of them are counterintuitive since they do not conform to standards. When elaborating such a document, try to identify non standard s
Source code for the ACL 2018 paper entitled "Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures" by Wenqiang Lei et al.
I feel hard to understand the documentation (specially the regular expression). Please make the documentation more clear with live example (playground). And also include a demo bot. Thanks
Version 6 will include a reworking of how shaders are exposed on the GML side. This requires documentation, which is good because shader documentation for Scribble has historically been poor.
Code to train and evaluate the GeNeVA-GAN model for the GeNeVA task proposed in our ICCV 2019 paper "Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction"
Thank you for this work💯 👍
Could you please add a english documentation for the technical part (how to install, build, run, etc.)
Thank you very much