About

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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Datasets

Latest papers without code

SGG: Learning to Select, Guide, and Generate for Keyphrase Generation

6 May 2021

Keyphrases, that concisely summarize the high-level topics discussed in a document, can be categorized into present keyphrase which explicitly appears in the source text, and absent keyphrase which does not match any contiguous subsequence but is highly semantically related to the source.

TEXT GENERATION

Unsupervised Document Expansion for Information Retrieval with Stochastic Text Generation

3 May 2021

In this paper, we propose an Unsupervised Document Expansion with Generation (UDEG) framework with a pre-trained language model, which generates diverse supplementary sentences for the original document without using labels on query-document pairs for training.

INFORMATION RETRIEVAL LANGUAGE MODELLING TEXT GENERATION

Text-to-Text Multi-view Learning for Passage Re-ranking

29 Apr 2021

Recently, much progress in natural language processing has been driven by deep contextualized representations pretrained on large corpora.

MULTI-VIEW LEARNING PASSAGE RE-RANKING RE-RANKING TEXT GENERATION

Text Generation with Deep Variational GAN

27 Apr 2021

Generating realistic sequences is a central task in many machine learning applications.

TEXT GENERATION

On a Utilitarian Approach to Privacy Preserving Text Generation

23 Apr 2021

This is because the nearest neighbor to the noised input is likely to be the original input.

TEXT CLASSIFICATION TEXT GENERATION

A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation

18 Apr 2021

Large pretrained generative models like GPT-3 often suffer from hallucinating non-existent or incorrect content, which undermines their potential merits in real applications.

DOCUMENT-LEVEL TEXT GENERATION

Extract, Denoise, and Enforce: Evaluating and Predicting Lexical Constraints for Conditional Text Generation

18 Apr 2021

In this paper, we present a systematic analysis of conditional generation to study whether current PLMs are good enough for preserving important concepts in the input and to what extent explicitly guiding generation with lexical constraints is beneficial.

CONDITIONAL TEXT GENERATION DENOISING

An Empirical Study of Extrapolation in Text Generation with Scalar Control

16 Apr 2021

We conduct an empirical evaluation of extrapolation performance when conditioning on scalar control inputs like desired output length, desired edit from an input sentence, and desired sentiment across three text generation tasks.

TEXT GENERATION

proScript: Partially Ordered Scripts Generation via Pre-trained Language Models

16 Apr 2021

Scripts - standardized event sequences describing typical everyday activities - have been shown to help understand narratives by providing expectations, resolving ambiguity, and filling in unstated information.

TEXT GENERATION