🌟 CTRLsum

# 🌟 New model addition

## Model description

>Current summarization systems yield generic summaries that are disconnected from users’ preferences and expectations. To address this limitation, we present **CTRLsum**, a novel framework for controllable summarization.
>
> Our approach enables users to control multiple aspects of generated summaries by interacting with the summarization system through textual input in the form of a set of keywords or descriptive prompts.
Using a single unified model, CTRLsum is able to achieve a broad scope of summary manipulation at inference time without requiring additional human annotations or pre-defining a set of control aspects during training.
We quantitatively demonstrate the effectiveness of our approach on three domains of summarization datasets and five control aspects:
> 1) entity-centric
> 2) length-controllable summarization
> 3) contribution summarization on scientific papers
> 4) invention purpose summarization on patent filings
> 5) question-guided summarization on news articles in a reading comprehension setting
>
> Moreover, when used in a standard, uncontrolled summarization setting, CTRLsum achieves state-of-the-art results on the CNN/DailyMail dataset.

## Open source status

* [x] the model implementation is available: https://github.com/salesforce/ctrl-sum
* [x] the model weights are available: _Download link available in the README of the repo_
* [x] who are the authors: @jxhe @muggin