Text summarization aims to reduce text by removing less useful information obtain quickly and precisely. In Indonesian abstractive summarization, the research mostly focuses on multi-document which methods will not work optimally in single-document summarization. As public datasets works English are focusing this study emphasized Abstractive studies frequently use Bidirectional Encoder Represen...

This paper presents a novel approach for legal document summarization. Proposed is based on Ripple-Down Rules (RDR). It an incremental knowledge acquisition method. RDR allows us to quickly build extendable base using classification rules. The rules are written set of features. Summary generated the identified rhetorical roles in document. Experiments demonstrate that Legal Document summarizati...

Multi-document summarization is a fundamental tool for document understanding and has received much attention recently. Given a collection of documents, a variety of summarization methods based on different strategies have been proposed to extract the most important sentences from the original documents. However, very few studies have been reported on aggregating different summarization methods...

We present two approaches to email thread summarization: Collective Message Summarization (CMS) applies a multi-document summarization approach, while Individual Message Summarization (IMS) treats the problem as a sequence of single-document summarization tasks. Both approaches are implemented in our general framework driven by sentence compression. Instead of a purely extractive approach, we e...

We participated in both the single-document and multi-document summarization tasks at the TSC 2002. We have incorporated two modules into our earlier summarization system, which is based on a sentenceextraction technique, so that we could apply the system to the multi-document summarization task. One is a module to categorize document sets and the other is to estimate the similarity between sen...

Researchers in automatic document summarization have already adopted many techniques from existing machine translation literature. Likewise, there is much that the machine translation community can learn from current research in summarization. Automatic Summarization, by Inderjeet Mani, provides a firm grounding in the primary techniques that have been applied to the summarization task, so that...