May 11, 2020 · To facilitate the training of neural network models, researchers created large datasets of paired utterances and their meaning representations.
In this paper, we present the novel task of Schema-Guided Natural Language Generation (SG-NLG). Here, the goal is still to generate a natural language prompt.
This SG-NLG dataset is designed to make it easier to conduct NLG experiments on the SGD data. We pre-process SGD by pairing the schema for each system turn with ...
In this work, we focus on stylistic control and evaluation for schema-guided NLG, with joint goals of achieving both semantic and stylistic control. We ...
People also ask
What is the natural language generation model?
What is an example of natural language generation NLG?
Which one of the most popular models is used for natural language generation?
Which of the following is an example of natural language generation?
In this paper, we present the novel task of Schema-Guided Natural Language Generation (SG-NLG). Here, the goal is still to generate a natural language ...
The SG-NLG dataset is a pre-processed version of the DSTC8 Schema-Guided Dialogue SGD dataset, designed specifically for data-to-text NLG.
The SG-NLG dataset is a pre-processed version of the DSTC8 Schema-Guided Dialogue SGD dataset, designed specifically for data-to-text Natural Language ...
The goal of the task is to generate a natural language string to realize an input meaning representation, hence large datasets of paired utterances and their ...
Oct 24, 2022 · First, we propose a schema-guided approach which conditions the generation on a schema describing the API in natural language. Our second ...
Natural Language Generation (NLG) for task-oriented dialogue systems focuses on communicating specific content accurately, fluently, and coherently.