Abstractive methods generate the summary using novel words, which improves the conciseness and fluency of the summary.

San Jose State University

The main aim of summarization technique is to showcase the core underlying topic in a dialogue .

Automatic summarisation is divided into 

 - Extractive
 - Abstractive



Automatic Text Summarization

 A Survey on Dialogue Summarization: Recent Advances and New Frontiers

ROUGE is the metric used for summarization technique which computes the F1 score.


Evaluation Metric for Dialogue Summarization Tasks

Extractive methods select important sentences as the summary, which is more accurate and faithful.


Extractive Text Summarization

A language model is tasked with summarizing the following text:

**Original Text:** 'The company's quarterly report, released Tuesday, showed a 15% increase in revenue, driven primarily by strong sales in the European market. However, profits were down 5% due to rising operational costs and a one-time expenditure on new factory equipment. The CEO stated that while the profit dip is a concern, the strong revenue growth is a positive indicator for the future.'

The model produces two different sum

A legal technology company is building a new feature for its software that automatically summarizes lengthy court case documents for lawyers. The primary goal is to help lawyers quickly identify the key arguments and rulings. For this application, preserving the exact original wording of the court is critically important to avoid any misinterpretation. Which of the two main automatic summarization approaches should the company's development team implement? Justify your choice by explaining why it is more suitable for this specific scenario and why the other approach would be less appropriate.

Choosing a Summarization Strategy for a Legal Tech Company

Constrained prompts direct a model to perform a task while adhering to specific limitations. For instance, a prompt for text summarization could impose a length constraint, such as 'Summarize the following article in no more than 50 words,' or a structural constraint, like 'Summarize this text in three sentences.'

Examples of Constrained Prompts for Text Summarization

Match each automatic text summarization approach with the description of its core mechanism and primary trade-offs.

A news organization uses two different automated systems to generate summaries of its articles. For the article excerpt below, System 1 produced Summary A, and System 2 produced Summary B.

**Original Text:** 'The city council convened an emergency session last night to address the unprecedented flooding caused by Storm Clara. The storm, which intensified rapidly over the past 24 hours, has led to widespread power outages and forced the evacuation of several low-lying neighborhoods. Mayor Johnson announced that national guard troops have been requested to assist with rescue operations and that emergency shelters are now open at the community center and the high school.'

**Summary A:** 'The city council convened an emergency session last night to address the unprecedented flooding. Mayor Johnson announced that national guard troops have been requested to assist. Emergency shelters are now open.'

**Summary B:** 'Recent severe weather from Storm Clara has caused significant flooding and power disruptions, prompting the city to call for military assistance and open public shelters for displaced residents.'

Based on the characteristics of the two summaries, explain the fundamental difference in the approach each system uses to create a summary.

Learn Before

Related