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Found 7 papers, 1 papers with code
Machine Translation Pre-training for Data-to-Text Generation - A Case Study in Czech
Since the structured data is generally expressed in English, text generation into other languages involves elements of translation, transliteration and copying - elements already encoded in neural machine translation systems.
Using Machine Translation to Localize Task Oriented NLG Output
One of the challenges in a task oriented natural language application like the Google Assistant, Siri, or Alexa is to localize the output to many languages.
Machine Translation Pre-training for Data-to-Text Generation -- A Case Study in Czech
Since the structured data is generally expressed in English, text generation into other languages involves elements of translation, transliteration and copying - elements already encoded in neural machine translation systems.
Ranked #1 on
Data-to-Text Generation
on Czech Restaurant NLG
APE at Scale and its Implications on MT Evaluation Biases
In this work, we train an Automatic Post-Editing (APE) model and use it to reveal biases in standard Machine Translation (MT) evaluation procedures.
Unsupervised Natural Language Generation with Denoising Autoencoders
Generating text from structured data is important for various tasks such as question answering and dialog systems.
Contextual LSTM (CLSTM) models for Large scale NLP tasks
We evaluate CLSTM on three specific NLP tasks: word prediction, next sentence selection, and sentence topic prediction.
Online Models for Content Optimization
It is now deployed on a major Internet portal, and selects articles to serve to hundreds of millions of user visits per day, significantly increasing the number of user clicks over the original manual approach, in which editors periodically selected articles to display.
