In this work we study user controlled table-to-text generation where use...
In this paper, we are interested in developing semantic parsers which
un...
We present a cross-lingual summarisation corpus with long documents in a...
Machine learning approaches applied to NLP are often evaluated by summar...
We introduce GEM, a living benchmark for natural language Generation (NL...
Existing neural generation approaches create multi-sentence text as a si...
Most previous work on neural text generation from graph-structured data
...
A core step in statistical data-to-text generation concerns learning
cor...
Recently, several data-sets associating data to text have been created t...