Summarizing Reports on Evolving Events; Part I: Linear Evolution
Stergos D. Afantenos, Vangelis Karkaletsis, Panagiotis, Stamatopoulos

TL;DR
This paper introduces a summarization method for evolving events across multiple documents, focusing on linear evolution, by representing documents as messages and establishing cross-document relations.
Contribution
It proposes a novel approach to multi-document summarization that models event evolution linearly using message-based representations and cross-document relations.
Findings
System effectively summarizes linear event evolution.
Message-based representation captures event dynamics.
Cross-document relations improve summary coherence.
Abstract
We present an approach for summarization from multiple documents which report on events that evolve through time, taking into account the different document sources. We distinguish the evolution of an event into linear and non-linear. According to our approach, each document is represented by a collection of messages which are then used in order to instantiate the cross-document relations that determine the summary content. The paper presents the summarization system that implements this approach through a case study on linear evolution.
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Taxonomy
TopicsNatural Language Processing Techniques · Topic Modeling · Advanced Text Analysis Techniques
