no code implementations • 6 Aug 2015 • Luís Marujo, José Portêlo, Wang Ling, David Martins de Matos, João P. Neto, Anatole Gershman, Jaime Carbonell, Isabel Trancoso, Bhiksha Raj
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.
no code implementations • SEMEVAL 2015 • Luís Marujo, Ricardo Ribeiro, David Martins de Matos, João P. Neto, Anatole Gershman, Jaime Carbonell
The increasing amount of online content motivated the development of multi-document summarization methods.
no code implementations • 24 Mar 2014 • Luís Marujo, Anatole Gershman, Jaime Carbonell, João P. Neto, David Martins de Matos
Event classification at sentence level is an important Information Extraction task with applications in several NLP, IR, and personalization systems.
no code implementations • 23 Dec 2013 • Luis Marujo, Anatole Gershman, Jaime Carbonell, David Martins de Matos, João P. Neto
In this work, we propose two stochastic architectural models (CMC and CMC-M) with two layers of classifiers applicable to datasets with one and multiple skewed classes.
no code implementations • COLING 2012 • Luis Marujo, Wang Ling, Anatole Gershman, Jaime Carbonell, João P. Neto, David Matos
We extend the concept of Named Entities to Named Events - commonly occurring events such as battles and earthquakes.
1 code implementation • LREC 2012 • Luis Marujo, Anatole Gershman, Jaime Carbonell, Robert Frederking, João P. Neto
We also experimented with 2 forms of document pre-processing that we call light filtering and co-reference normalization.
no code implementations • 20 Jun 2013 • Luis Marujo, Ricardo Ribeiro, David Martins de Matos, João P. Neto, Anatole Gershman, Jaime Carbonell
Key phrases are often used to index the document or as features in further processing.