| | |
| | |
Stat |
Members: 3645 Articles: 2'506'133 Articles rated: 2609
26 April 2024 |
|
| | | |
|
Article overview
| |
|
Toward Unsupervised Text Content Manipulation | Wentao Wang
; Zhiting Hu
; Zichao Yang
; Haoran Shi
; Frank Xu
; Eric Xing
; | Date: |
28 Jan 2019 | Abstract: | Controlled generation of text is of high practical use. Recent efforts have
made impressive progress in generating or editing sentences with given textual
attributes (e.g., sentiment). This work studies a new practical setting of text
content manipulation. Given a structured record, such as ’(PLAYER: Lebron,
POINTS: 20, ASSISTS: 10)’, and a reference sentence, such as ’Kobe easily
dropped 30 points’, we aim to generate a sentence that accurately describes the
full content in the record, with the same writing style (e.g., wording,
transitions) of the reference. The problem is unsupervised due to lack of
parallel data in practice, and is challenging to minimally yet effectively
manipulate the text (by rewriting/adding/deleting text portions) to ensure
fidelity to the structured content. We derive a dataset from a basketball game
report corpus as our testbed, and develop a neural method with unsupervised
competing objectives and explicit content coverage constraints. Automatic and
human evaluations show superiority of our approach over competitive methods
including a strong rule-based baseline and prior approaches designed for style
transfer. | Source: | arXiv, 1901.9501 | Services: | Forum | Review | PDF | Favorites |
|
|
No review found.
Did you like this article?
Note: answers to reviews or questions about the article must be posted in the forum section.
Authors are not allowed to review their own article. They can use the forum section.
browser Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com)
|
| |
|
|
|
| News, job offers and information for researchers and scientists:
| |