activity
20132015
most citedSupervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization

36 citations · 69 across the 7 of their papers we have counts for

collaborators

8 papers

cs.IR2015★ 9 cited

Privacy-Preserving Multi-Document Summarization

Luís Marujo, José Portêlo, Wang Ling +6

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 parties…

cs.IR2015

Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach

Luís Marujo, Ricardo Ribeiro, David Martins de Matos +3

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

cs.IR2014★ 4 cited

Privacy-Preserving Important Passage Retrieval

Luis Marujo, José Portêlo, David Martins de Matos +5

State-of-the-art important passage retrieval methods obtain very good results, but do not take into account privacy issues. In this paper, we present a privacy preserving method th…

cs.CL2013★ 2 cited

Recognition of Named-Event Passages in News Articles

Luis Marujo, Wang Ling, Anatole Gershman +3

We extend the concept of Named Entities to Named Events - commonly occurring events such as battles and earthquakes. We propose a method for finding specific passages in news artic…

cs.CL2013★ 1 cited

Key Phrase Extraction of Lightly Filtered Broadcast News

Luis Marujo, Ricardo Ribeiro, David Martins de Matos +3

This paper explores the impact of light filtering on automatic key phrase extraction (AKE) applied to Broadcast News (BN). Key phrases are words and expressions that best character…

cs.CL2013★ 36 cited

Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization

Luis Marujo, Anatole Gershman, Jaime Carbonell +2

Fast and effective automated indexing is critical for search and personalized services. Key phrases that consist of one or more words and represent the main concepts of the documen…