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Facts2Story: Controlling Text Generation by Key Facts

Facts2Story: Controlling Text Generation by Key Facts

8 December 2020
Eyal Orbach
Yoav Goldberg
ArXivPDFHTML

Papers citing "Facts2Story: Controlling Text Generation by Key Facts"

4 / 4 papers shown
Title
Affective Natural Language Generation of Event Descriptions through
  Fine-grained Appraisal Conditions
Affective Natural Language Generation of Event Descriptions through Fine-grained Appraisal Conditions
Yarik Menchaca Resendiz
Roman Klinger
12
5
0
26 Jul 2023
Ontologically Faithful Generation of Non-Player Character Dialogues
Ontologically Faithful Generation of Non-Player Character Dialogues
Nathaniel Weir
Ryan Thomas
Randolph DÁmore
Kellie Hill
Benjamin Van Durme
Harsh Jhamtani
31
6
0
20 Dec 2022
Generate, Annotate, and Learn: NLP with Synthetic Text
Generate, Annotate, and Learn: NLP with Synthetic Text
Xuanli He
Islam Nassar
J. Kiros
Gholamreza Haffari
Mohammad Norouzi
39
51
0
11 Jun 2021
WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia
  Article Sections
WikiTableT: A Large-Scale Data-to-Text Dataset for Generating Wikipedia Article Sections
Mingda Chen
Sam Wiseman
Kevin Gimpel
27
30
0
29 Dec 2020
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