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20192022
most citedImproving abstractive summarization with energy-based re-ranking

3 citations · 8 across the 5 of their papers we have counts for

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6 papers · 1 filter

cs.CL20223 cited

Improving abstractive summarization with energy-based re-ranking

Diogo Pernes, Afonso Mendes, André F. T. Martins

Current abstractive summarization systems present important weaknesses which prevent their deployment in real-world applications, such as the omission of relevant information and t…

cs.CL20222 cited

Simplifying Multilingual News Clustering Through Projection From a Shared Space

João Santos, Afonso Mendes, Sebastião Miranda

The task of organizing and clustering multilingual news articles for media monitoring is essential to follow news stories in real time. Most approaches to this task focus on high-r…

cs.CL20221 cited

An NLP Solution to Foster the Use of Information in Electronic Health Records for Efficiency in Decision-Making in Hospital Care

Adelino Leite-Moreira, Afonso Mendes, Afonso Pedrosa +8

The project aimed to define the rules and develop a technological solution to automatically identify a set of attributes within free-text clinical records written in Portuguese. Th…

cs.CL2021

Priberam at MESINESP Multi-label Classification of Medical Texts Task

Ruben Cardoso, Zita Marinho, Afonso Mendes +1

Medical articles provide current state of the art treatments and diagnostics to many medical practitioners and professionals. Existing public databases such as MEDLINE contain over…

cs.CL2021

Priberam Labs at the NTCIR-15 SHINRA2020-ML: Classification Task

Ruben Cardoso, Afonso Mendes, Andre Lamurias

Wikipedia is an online encyclopedia available in 285 languages. It composes an extremely relevant Knowledge Base (KB), which could be leveraged by automatic systems for several pur…

cs.CL20192 cited

Automated Fact Checking in the News Room

Sebastião Miranda, David Nogueira, Afonso Mendes +5

Fact checking is an essential task in journalism; its importance has been highlighted due to recently increased concerns and efforts in combating misinformation. In this paper, we…