Generating summaries of multiple news articles | Zendy

Kathleen McKeown | Zendy; Dragomir Radev | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Generating summaries of multiple news articles

Author(s) -

Kathleen McKeown,

Dragomir Radev

Publication year - 1995

Publication title -

proceedings of the 25th annual international acm sigir conference on research and development in information retrieval - sigir '02

Language(s) - English

Resource type - Conference proceedings

ISBN - 0-89791-714-6

DOI - 10.1145/215206.215334

Subject(s) - citation , columbia university , computer science , library science , world wide web , media studies , sociology

We present a natural language system which summarizes a series of news articles on the same event. It uses summarization operators, identified through empirical analysis of a corpus of news summaries, to group together templates from the output of the systems developed for ARPA’s Message Understanding Conferences. Depending on the available resources (e.g., space), summaries of different length can be produced. Our research also provides a methodological framework for future work on the summarization task and on the evaluation of news summarization systems.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research