On (Commercial) Benefits of Automatic Text Summarization Systems in the News Domain: A Case of Media Monitoring and Media Response Analysis
In this work, we present the results of a systematic study to investigate the (commercial) benefits of automatic text summarization systems in a real world scenario. More specifically, we define a use case in the context of media monitoring and media response analysis and claim that even using a simple query-based extractive approach can dramatically save the processing time of the employees without significantly reducing the quality of their work.
Code (0)
등록된 구현이 없습니다.
Tasks
Text SummarizationSimilar Papers 제목 키워드 기반
A Baseline Analysis for Podcast Abstractive Summarization
Podcast summary, an important factor affecting end-users' listening decisions, has often been considered a critical feature in podcast recommendation systems, as well as many downstream applications. Existing abstractive…
Abstractive Text SummarizationRecommendation SystemsThe Current State of Summarization
With the explosive growth of textual information, summarization systems have become increasingly important. This work aims to concisely indicate the current state of the art in abstractive text summarization. As part of …
Abstractive Text SummarizationDecoderText SummarizationSummIt: Iterative Text Summarization via ChatGPT
Text summarization systems have made significant progress in recent years, but typically generate summaries in one single step. However, the one-shot summarization setting is sometimes inadequate, as the generated summar…
Text SummarizationCUSTOM: Aspect-Oriented Product Summarization for E-Commerce
Product summarization aims to automatically generate product descriptions, which is of great commercial potential. Considering the customer preferences on different product aspects, it would benefit from generating aspec…
Prompting LLMs with content plans to enhance the summarization of scientific articles
This paper presents novel prompting techniques to improve the performance of automatic summarization systems for scientific articles. Scientific article summarization is highly challenging due to the length and complexit…
Articles