MICHAEL ELHADAD
Senior Academic
Information fusion in the context of multi-document summarization
We present a method to automatically generate a concise summary by identifying and synthesizing similar elements across related text from a set of multiple documents. Our approach is unique in its usage of language generation to reformulate the wording of the summary.
| Publication language | English |
| Pages | 550-557 |
| Journal | Proceedings of the Annual Meeting of the Association for Computational Linguistics |
| Volume | 1999-June |
| Publication status | Published - 01.01.1999 |
ASJC Scopus subject areas
Computer Science Applications
Linguistics and Language
Language and Linguistics
