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Text Generation

169 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.

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Latest papers without code

AdvCodec: Towards A Unified Framework for Adversarial Text Generation

ICLR 2020

In particular, we propose a tree based autoencoder to encode discrete text data into continuous vector space, upon which we optimize the adversarial perturbation.

ADVERSARIAL TEXT QUESTION ANSWERING SENTIMENT ANALYSIS TEXT GENERATION

Residual Energy-Based Models for Text Generation

ICLR 2020

In this work, we investigate un-normalized energy-based models (EBMs) which operate not at the token but at the sequence level.

LANGUAGE MODELLING MACHINE TRANSLATION TEXT GENERATION

Variational Template Machine for Data-to-Text Generation

ICLR 2020

We claim that an open set of templates is crucial for enriching the phrase constructions and realizing varied generations. Learning such templates is prohibitive since it often requires a large paired <table, description>, which is seldom available.

DATA-TO-TEXT GENERATION

A Quality-Diversity Controllable GAN for Text Generation

ICLR 2020

Text generation is a critical and difficult natural language processing task.

TEXT GENERATION

Regularly varying representation for sentence embedding

ICLR 2020

The dominant approaches to sentence representation in natural language rely on learning embeddings on massive corpuses.

SENTENCE EMBEDDING TEXT GENERATION

Learning Semantic Correspondences from Noisy Data-text Pairs by Local-to-Global Alignments

ICLR 2020

First, a local alignment model based on multi-instance learning is applied to build the semantic correspondences within a data-text pair.

DATA-TO-TEXT GENERATION

Denoising Improves Latent Space Geometry in Text Autoencoders

ICLR 2020

Neural language models have recently shown impressive gains in unconditional text generation, but controllable generation and manipulation of text remain challenging.

DENOISING TEXT GENERATION

CaptainGAN: Navigate Through Embedding Space For Better Text Generation

ICLR 2020

Score-function-based text generation approaches such as REINFORCE, in general, suffer from high computational complexity and training instability problems.

TEXT GENERATION

STYLE EXAMPLE-GUIDED TEXT GENERATION USING GENERATIVE ADVERSARIAL TRANSFORMERS

ICLR 2020

The style encoder extracts a style code from the reference example, and the text decoder generates texts based on the style code and the context.

TEXT GENERATION