Fact-based Text Editing

07/02/2020
by   Hayate Iso, et al.
1

We propose a novel text editing task, referred to as fact-based text editing, in which the goal is to revise a given document to better describe the facts in a knowledge base (e.g., several triples). The task is important in practice because reflecting the truth is a common requirement in text editing. First, we propose a method for automatically generating a dataset for research on fact-based text editing, where each instance consists of a draft text, a revised text, and several facts represented in triples. We apply the method into two public table-to-text datasets, obtaining two new datasets consisting of 233k and 37k instances, respectively. Next, we propose a new neural network architecture for fact-based text editing, called FactEditor, which edits a draft text by referring to given facts using a buffer, a stream, and a memory. A straightforward approach to address the problem would be to employ an encoder-decoder model. Our experimental results on the two datasets show that FactEditor outperforms the encoder-decoder approach in terms of fidelity and fluency. The results also show that FactEditor conducts inference faster than the encoder-decoder approach.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/18/2019

Expressing Visual Relationships via Language

Describing images with text is a fundamental problem in vision-language ...
research
06/01/2023

ReFACT: Updating Text-to-Image Models by Editing the Text Encoder

Text-to-image models are trained on extensive amounts of data, leading t...
research
09/10/2018

Unsupervised Controllable Text Formalization

We propose a novel framework for controllable natural language transform...
research
04/17/2018

Bootstrapping Generators from Noisy Data

A core step in statistical data-to-text generation concerns learning cor...
research
06/01/2019

"President Vows to Cut <Taxes> Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines

We introduce, release, and analyze a new dataset, called Humicroedit, fo...
research
08/29/2019

KBSET -- Knowledge-Based Support for Scholarly Editing and Text Processing

KBSET supports a practical workflow for scholarly editing, based on usin...
research
06/27/2020

Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization

Neural models have become successful at producing abstractive summaries ...

Please sign up or login with your details

Forgot password? Click here to reset