MixingBoard: a Knowledgeable Stylized Integrated Text Generation Platform

05/17/2020
by   Xiang Gao, et al.
0

We present MixingBoard, a platform for quickly building demos with a focus on knowledge grounded stylized text generation. We unify existing text generation algorithms in a shared codebase and further adapt earlier algorithms for constrained generation. To borrow advantages from different models, we implement strategies for cross-model integration, from the token probability level to the latent space level. An interface to external knowledge is provided via a module that retrieves on-the-fly relevant knowledge from passages on the web or any document collection. A user interface for local development, remote webpage access, and a RESTful API are provided to make it simple for users to build their own demos.

READ FULL TEXT
research
02/06/2018

Texygen: A Benchmarking Platform for Text Generation Models

We introduce Texygen, a benchmarking platform to support research on ope...
research
03/02/2020

Towards information-rich, logical text generation with knowledge-enhanced neural models

Text generation system has made massive promising progress contributed b...
research
11/01/2019

Kernelized Bayesian Softmax for Text Generation

Neural models for text generation require a softmax layer with proper to...
research
11/15/2022

AutoTemplate: A Simple Recipe for Lexically Constrained Text Generation

Lexically constrained text generation is one of the constrained text gen...
research
07/31/2017

The Code2Text Challenge: Text Generation in Source Code Libraries

We propose a new shared task for tactical data-to-text generation in the...
research
05/14/2021

Joint Retrieval and Generation Training for Grounded Text Generation

Recent advances in large-scale pre-training such as GPT-3 allow seemingl...
research
11/23/2021

Realistic simulation of users for IT systems in cyber ranges

Generating user activity is a key capability for both evaluating securit...

Please sign up or login with your details

Forgot password? Click here to reset