activity
20182022
most citedAutomated Fact Checking in the News Room

2 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

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.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.IR2019

Jointly Extracting and Compressing Documents with Summary State Representations

Afonso Mendes, Shashi Narayan, Sebastião Miranda +3

We present a new neural model for text summarization that first extracts sentences from a document and then compresses them. The proposed model offers a balance that sidesteps the…

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…

cs.CL2018

Multilingual Clustering of Streaming News

Sebastião Miranda, Artūrs Znotiņš, Shay B. Cohen +1

Clustering news across languages enables efficient media monitoring by aggregating articles from multilingual sources into coherent stories. Doing so in an online setting allows sc…