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Text Generation

5,125 papers

Papers per year

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Papers

Personalized Multimodal Feedback Generation in Education COLING 2020
Mark-Evaluate: Assessing Language Generation using Population Estimation Methods COLING 2020
TableGPT: Few-shot Table-to-Text Generation with Table Structure Reconstruction and Content Matching COLING 2020
The ApposCorpus: a new multilingual, multi-domain dataset for factual appositive generation COLING 2020
Generalized Shortest-Paths Encoders for AMR-to-Text Generation COLING 2020
Generating Diverse Corrections with Local Beam Search for Grammatical Error Correction COLING 2020
Automatic Assistance for Academic Word Usage COLING 2020
Heterogeneous Recycle Generation for Chinese Grammatical Error Correction COLING 2020
Formality Style Transfer with Shared Latent Space COLING 2020
Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication COLING 2020
Referring to what you know and do not know: Making Referring Expression Generation Models Generalize To Unseen Entities COLING 2020
Retrieval-Augmented Controllable Review Generation COLING 2020
Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale COLING 2020
Story Generation with Rich Details COLING 2020
Learning with Contrastive Examples for Data-to-Text Generation COLING 2020
MedWriter: Knowledge-Aware Medical Text Generation COLING 2020
Dynamic Topic Tracker for KB-to-Text Generation COLING 2020
Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation COLING 2020
GenWiki: A Dataset of 1.3 Million Content-Sharing Text and Graphs for Unsupervised Graph-to-Text Generation COLING 2020
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity COLING 2020
A hierarchical approach to vision-based language generation: from simple sentences to complex natural language COLING 2020
CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question Answering COLING 2020
Adapting a Language Model for Controlled Affective Text Generation COLING 2020
Learning Semantic Correspondences from Noisy Data-text Pairs by Local-to-Global Alignments COLING 2020
A Human Evaluation of AMR-to-English Generation Systems COLING 2020