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Text Generation

203 papers with code ยท Natural Language Processing

Text generation is the task of generating text with the goal of appearing indistinguishable to human-written text.

( Image credit: Adversarial Ranking for Language Generation )

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Latest papers without code

Gaussian Smoothen Semantic Features (GSSF) -- Exploring the Linguistic Aspects of Visual Captioning in Indian Languages (Bengali) Using MSCOCO Framework

16 Feb 2020

In this work, we have introduced Gaussian Smoothen Semantic Features (GSSF) for Better Semantic Selection for Indian regional language-based image captioning and introduced a procedure where we used the existing translation and English crowd-sourced sentences for training.

IMAGE CAPTIONING TEXT GENERATION

CBAG: Conditional Biomedical Abstract Generation

13 Feb 2020

We propose a transformer-based conditional language model with a shallow encoder "condition" stack, and a deep "language model" stack of multi-headed attention blocks.

LANGUAGE MODELLING TEXT GENERATION

Learning to Compare for Better Training and Evaluation of Open Domain Natural Language Generation Models

12 Feb 2020

While able to be trained in a fully self-supervised fashion, our model can be further fine-tuned with a little amount of human preference annotation to better imitate human judgment.

TEXT GENERATION

Limits of Detecting Text Generated by Large-Scale Language Models

9 Feb 2020

Some consider large-scale language models that can generate long and coherent pieces of text as dangerous, since they may be used in misinformation campaigns.

LANGUAGE MODELLING TEXT GENERATION

Multimodal Matching Transformer for Live Commenting

7 Feb 2020

In this work, we aim to improve the relevance between live comments and videos by modeling the cross-modal interactions among different modalities.

TEXT GENERATION

Variational Template Machine for Data-to-Text Generation

4 Feb 2020

We propose the variational template machine (VTM), a novel method to generate text descriptions from data tables.

DATA-TO-TEXT GENERATION

Citation Text Generation

2 Feb 2020

We introduce the task of citation text generation: given a pair of scientific documents, explain their relationship in natural language text in the manner of a citation from one text to the other.

TEXT GENERATION

Self-Adversarial Learning with Comparative Discrimination for Text Generation

31 Jan 2020

Conventional Generative Adversarial Networks (GANs) for text generation tend to have issues of reward sparsity and mode collapse that affect the quality and diversity of generated samples.

TEXT GENERATION

Incorporating Joint Embeddings into Goal-Oriented Dialogues with Multi-Task Learning

28 Jan 2020

Since such models can greatly benefit from user intent and knowledge graph integration, in this paper we propose an RNN-based end-to-end encoder-decoder architecture which is trained with joint embeddings of the knowledge graph and the corpus as input.

GOAL-ORIENTED DIALOGUE SYSTEMS MULTI-TASK LEARNING TEXT GENERATION

ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation

26 Jan 2020

Current pre-training works in natural language generation pay little attention to the problem of exposure bias on downstream tasks.

ABSTRACTIVE TEXT SUMMARIZATION DIALOGUE GENERATION QUESTION ANSWERING QUESTION GENERATION