Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Characterizing Variation in Crowd-Sourced Data for Training Neural Language Generators to Produce Stylistically Varied Outputs
Controlling Personality-Based Stylistic Variation with Neural Natural Language Generators
Crowdsourcing Language Generation Templates for Dialogue Systems
Imitation learning for language generation from unaligned data
Code-switching Sentence Generation by Generative Adversarial Networks and its Application to Data Augmentation
E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language
Group Linguistic Bias Aware Neural Response Generation
Irony and Sarcasm: Corpus Generation and Analysis Using Crowdsourcing
BFGAN: Backward and Forward Generative Adversarial Networks for Lexically Constrained Sentence Generation
Crowdsourcing and language studies: the new generation of linguistic data
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
Trainable Methods For Surface Natural Language Generation
Stochastic Language Generation in Dialogue using Recurrent Neural Networks with Convolutional Sentence Reranking
Crowd-sourcing NLG Data: Pictures Elicit Better Data
On the role of linguistic descriptions of data in the building of natural language generation systems
Context-aware Natural Language Generation with Recurrent Neural Networks
Recent Advances in Natural Language Generation: A Survey and Classification of the Empirical Literature
Toward Multi-domain Language Generation using Recurrent Neural Networks
Training Generative Adversarial Networks Via Turing Test
Evaluating Text GANs as Language Models
Toward Natural Language Generation by Humans
A Computationally Efficient Ground-Motion Selection Algorithm for Matching a Target Response Spectrum Mean and Variance
Support vector regression with modified firefly algorithm for stock price forecasting
Subspace video stabilization
Mobile Edge Caching: An Optimal Auction Approach
ROUGE: A Package For Automatic Evaluation Of Summaries