ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1908.09451
  4. Cited By
Improving Neural Story Generation by Targeted Common Sense Grounding
v1v2 (latest)

Improving Neural Story Generation by Targeted Common Sense Grounding

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
26 August 2019
H. H. Mao
Bodhisattwa Prasad Majumder
Julian McAuley
G. Cottrell
    LRM
ArXiv (abs)PDFHTML

Papers citing "Improving Neural Story Generation by Targeted Common Sense Grounding"

28 / 28 papers shown
Are NLP Models Good at Tracing Thoughts: An Overview of Narrative
  Understanding
Are NLP Models Good at Tracing Thoughts: An Overview of Narrative UnderstandingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Lixing Zhu
Runcong Zhao
Lin Gui
Yulan He
316
10
0
28 Oct 2023
GROVE: A Retrieval-augmented Complex Story Generation Framework with A
  Forest of Evidence
GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of EvidenceConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Zhihua Wen
Zhiliang Tian
Wei Wu
Yuxin Yang
Yanqi Shi
Zhen Huang
Dongsheng Li
RALM
389
21
0
09 Oct 2023
Can Large Language Models Be an Alternative to Human Evaluations?
Can Large Language Models Be an Alternative to Human Evaluations?Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Cheng-Han Chiang
Hung-yi Lee
ALMLM&MA
646
915
0
03 May 2023
An Ion Exchange Mechanism Inspired Story Ending Generator for Different
  Characters
An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters
Xinyu Jiang
Tao Gui
Chongyang Shi
Kaiying Jiang
Liang Hu
Shoujin Wang
248
1
0
01 Sep 2022
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning
  Tasks
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning TasksNeural Information Processing Systems (NeurIPS), 2022
Tuan Dinh
Yuchen Zeng
Ruisu Zhang
Ziqian Lin
Michael Gira
Shashank Rajput
Jy-yong Sohn
Dimitris Papailiopoulos
Kangwook Lee
LMTD
663
179
0
14 Jun 2022
Persona-Guided Planning for Controlling the Protagonist's Persona in
  Story Generation
Persona-Guided Planning for Controlling the Protagonist's Persona in Story GenerationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
Zhexin Zhang
Jiaxin Wen
Jian Guan
Shiyu Huang
192
26
0
22 Apr 2022
Pretrained Language Models for Text Generation: A Survey
Pretrained Language Models for Text Generation: A SurveyACM Computing Surveys (ACM CSUR), 2022
Junyi Li
Tianyi Tang
Wayne Xin Zhao
J. Nie
Ji-Rong Wen
AI4CE
608
284
0
14 Jan 2022
TopNet: Learning from Neural Topic Model to Generate Long Stories
TopNet: Learning from Neural Topic Model to Generate Long Stories
Yazheng Yang
Boyuan Pan
Deng Cai
Huan Sun
177
10
0
14 Dec 2021
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text
  Generation
The Perils of Using Mechanical Turk to Evaluate Open-Ended Text Generation
Marzena Karpinska
Nader Akoury
Mohit Iyyer
671
129
0
14 Sep 2021
Knowledge-Grounded Self-Rationalization via Extractive and Natural
  Language Explanations
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language ExplanationsInternational Conference on Machine Learning (ICML), 2021
Bodhisattwa Prasad Majumder
Oana-Maria Camburu
Thomas Lukasiewicz
Julian McAuley
406
39
0
25 Jun 2021
Surface Form Competition: Why the Highest Probability Answer Isn't
  Always Right
Surface Form Competition: Why the Highest Probability Answer Isn't Always RightConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Ari Holtzman
Peter West
Vered Schwartz
Yejin Choi
Luke Zettlemoyer
LRM
807
276
0
16 Apr 2021
Sketch and Customize: A Counterfactual Story Generator
Sketch and Customize: A Counterfactual Story GeneratorAAAI Conference on Artificial Intelligence (AAAI), 2021
Changying Hao
Liang Pang
Yanyan Lan
Yan Wang
Jiafeng Guo
Xueqi Cheng
CMLBDLLRM
118
17
0
02 Apr 2021
Automatic Story Generation: Challenges and Attempts
Automatic Story Generation: Challenges and Attempts
Amal Alabdulkarim
Siyan Li
Xiangyu Peng
169
63
0
25 Feb 2021
Transformer-based Conditional Variational Autoencoder for Controllable
  Story Generation
Transformer-based Conditional Variational Autoencoder for Controllable Story Generation
Le Fang
Tao Zeng
Chao-Ning Liu
Liefeng Bo
Wen Dong
Changyou Chen
DRL
305
70
0
04 Jan 2021
Outline to Story: Fine-grained Controllable Story Generation from
  Cascaded Events
Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events
Le Fang
Tao Zeng
Chao-Ning Liu
Liefeng Bo
Wen Dong
Changyou Chen
219
12
0
04 Jan 2021
On-the-Fly Attention Modulation for Neural Generation
On-the-Fly Attention Modulation for Neural GenerationFindings (Findings), 2021
Yue Dong
Chandra Bhagavatula
Ximing Lu
Jena D. Hwang
Antoine Bosselut
Jackie C.K. Cheung
Yejin Choi
319
17
0
02 Jan 2021
Summarize, Outline, and Elaborate: Long-Text Generation via Hierarchical
  Supervision from Extractive Summaries
Summarize, Outline, and Elaborate: Long-Text Generation via Hierarchical Supervision from Extractive Summaries
Xiaofei Sun
Zijun Sun
Yuxian Meng
Jiwei Li
Chun Fan
270
24
0
14 Oct 2020
Evaluating Factuality in Generation with Dependency-level Entailment
Evaluating Factuality in Generation with Dependency-level Entailment
Tanya Goyal
Greg Durrett
589
166
0
12 Oct 2020
Like hiking? You probably enjoy nature: Persona-grounded Dialog with
  Commonsense Expansions
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions
Bodhisattwa Prasad Majumder
Harsh Jhamtani
Taylor Berg-Kirkpatrick
Julian McAuley
266
91
0
07 Oct 2020
STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story
  Generation
STORIUM: A Dataset and Evaluation Platform for Machine-in-the-Loop Story GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Nader Akoury
Shufan Wang
Josh Whiting
Stephen Hood
Nanyun Peng
Mohit Iyyer
VGen
207
93
0
04 Oct 2020
Automated Storytelling via Causal, Commonsense Plot Ordering
Automated Storytelling via Causal, Commonsense Plot OrderingAAAI Conference on Artificial Intelligence (AAAI), 2020
Prithviraj Ammanabrolu
W. Cheung
William Broniec
Mark O. Riedl
182
69
0
02 Sep 2020
On Commonsense Cues in BERT for Solving Commonsense Tasks
On Commonsense Cues in BERT for Solving Commonsense TasksFindings (Findings), 2020
Leyang Cui
Sijie Cheng
Yu Wu
Yue Zhang
SSLCMLLRM
313
15
0
10 Aug 2020
A Survey on Self-supervised Pre-training for Sequential Transfer
  Learning in Neural Networks
A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural Networks
H. H. Mao
BDLSSL
196
55
0
01 Jul 2020
Progressive Generation of Long Text with Pretrained Language Models
Progressive Generation of Long Text with Pretrained Language Models
Bowen Tan
Zichao Yang
Maruan Al-Shedivat
Eric Xing
Zhiting Hu
210
23
0
28 Jun 2020
THEaiTRE: Artificial Intelligence to Write a Theatre Play
THEaiTRE: Artificial Intelligence to Write a Theatre Play
Rudolf Rosa
Ondrej Dusek
Tom Kocmi
David Marevcek
Tomáš Musil
...
Daniel Hrbek
David Kovsvták
Martina Kinská
Josef Dolevzal
Klára Vosecká
155
14
0
25 Jun 2020
Semantics of the Unwritten: The Effect of End of Paragraph and Sequence
  Tokens on Text Generation with GPT2
Semantics of the Unwritten: The Effect of End of Paragraph and Sequence Tokens on Text Generation with GPT2Annual Meeting of the Association for Computational Linguistics (ACL), 2020
Richard He Bai
Peng Shi
Jimmy J. Lin
Luchen Tan
Kun Xiong
Wen Gao
Jie Liu
Ming Li
245
6
0
05 Apr 2020
Do Massively Pretrained Language Models Make Better Storytellers?
Do Massively Pretrained Language Models Make Better Storytellers?Conference on Computational Natural Language Learning (CoNLL), 2019
A. See
Aneesh S. Pappu
Rohun Saxena
Akhila Yerukola
Christopher D. Manning
282
181
0
24 Sep 2019
Conditional Text Generation for Harmonious Human-Machine Interaction
Conditional Text Generation for Harmonious Human-Machine Interaction
Bin Guo
Hao Wang
Yasan Ding
Wei Wu
Shaoyang Hao
Yueqi Sun
Zhiwen Yu
273
4
0
08 Sep 2019
1
Page 1 of 1