Abstract

The goal of topic-oriented text summarization is to produce informative short description according to the given topic or query. This is somewhat similar to the target of question answering which retrieves exact answers from large text collections. In this paper, we present a lightweight and rule-free summarization technique.

Our method relies on a two-pass re-ranking framework. The first pass is to order the concepts which were clustered via conventional top-down clustering algorithm. The second pass generates the representative sentences from the top N concepts. The main advantage of our work is that we do not need to build external knowledge or pre-defined rules. This is our first time to participate in DUC. Although the result of our system is not comparable with most top-performed methods, the light-weight and rule free techniques still encourage us to further improve via integrating rich sources.

SOFTWARE REQUIREMENTS:-

• Operating System : Windows XP
• Languages : Java 1.6
• Tools : Net Beans/ Eclipse

• Processor : 600 MHz or above.
• RAM (SD/DDR) : 256 MB
• Hard Disc : 30GB

<< back

Related Projects : SMS Based Mobile Banking with Security ,SMS Based Student Intimation ,Social Networking With Advertisement ,Software Project Management ,SPAF: Stateless FSA-based Packet Filters ,Staying Connected in a Mobile Healthcare System ,Stealthy Attacks In Wireless Ad Hoc Networks ,Steganography In Audio Files ,Tanrox Work Force ,Text Encryption And Decryption ,Twitter Client For Android Based Smart Phone ,VAS for Hand Held Device ,Virtual Office Management ,Virtual Router Using Destination-Sequenced Distance Vector ,Voyage Management ,Web Enabled Automated Manufacturing System ,Web Alerts ,Web Blossom Bazzar ,Wireless Health Care System ,World Recipe ,Zeppelin Reservation