In this article, we explore an event detection framework to improve multi-document
summarization. Our approach is based on a two-stage single-document method that extracts …

Event detection is a fundamental information extraction task, which has been explored
largely in the context of question answering, topic detection and tracking, knowledge base …

Users and organizations are generating ever-increasing amounts of private data from a wide
range of sources. Incorporating private context is important to personalize opendomain tasks …

The increasing amount of online content motivated the development of multi-document
summarization methods. In this work, we explore straightforward approaches to extend …

State-of-the-art extractive multi-document summarization systems are usually designed
without any concern about privacy issues, meaning that all documents are open to third …

The prodigious amount of user-generated content continues to grow at an enormous rate.
While it greatly facilitates the flow of information and ideas among people and communities …

As agências de segurança desejam muitas vezes monitorizar conversas telefónicas para
determinar se alguma delas é importante para a segurança nacional, mas isto resulta numa …

It is necessary to protect the data, while the data owner still let the users retrieve the
information. In this paper, we present a secure text retrieval on multi keyword search, where …

Diariamente o número de notıcias, sobre eventos ocorrendo no mundo, está a crescer
exponencialmente. Simultaneamente, organizaçoes estaoa procura de informaçao sobre …

In this article, we explore an event detection framework to improve multidocument
summarization. Our approach is based on a two-stage single-document method that extracts …