Search Results - "Nogueira, Vítor Beires"

Machine Learning Approaches to Traffic Accident Analysis and Hotspot Prediction by Santos, Daniel, Saias, José, Quaresma, Paulo, Nogueira, Vítor Beires

“…Traffic accidents are one of the most important concerns of the world, since they result in numerous casualties, injuries, and fatalities each year, as well as…”
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Event Extraction and Representation: A Case Study for the Portuguese Language by Quaresma, Paulo, Nogueira, Vítor Beires, Raiyani, Kashyap, Bayot, Roy

“…Text information extraction is an important natural language processing (NLP) task, which aims to automatically identify, extract, and represent information…”
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A Graph Database Representation of Portuguese Criminal-Related Documents by Carnaz, Gonçalo, Nogueira, Vitor Beires, Antunes, Mário

“…Organizations have been challenged by the need to process an increasing amount of data, both structured and unstructured, retrieved from heterogeneous sources…”
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An Annotated Corpus of Crime-Related Portuguese Documents for NLP and Machine Learning Processing by Carnaz, Gonçalo, Antunes, Mário, Nogueira, Vitor Beires

“…Criminal investigations collect and analyze the facts related to a crime, from which the investigators can deduce evidence to be used in court. It is a…”
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From Textual Information Sources to Linked Data in the Agatha Project by Quaresma, Paulo, Nogueira, Vitor Beires, Raiyani, Kashyap, Bayot, Roy, Gonçalves, Teresa

“…Automatic reasoning about textual information is a challenging task in modern Natural Language Processing (NLP) systems. In this work we describe our proposal…”
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Temporal reasoning in a logic programming language with modularity by Nogueira, Vitor Beires

“…Current Organization Information Systems (OIS) deal with more and more information that is time dependent. In this work we provide a framework to construct and…”
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Temporal Reasoning in a Logic Programming Language with Modularity by Beires Nogueira, Vitor

“…Current Organisational Information Systems (OIS) deal with more and more Information that, is time dependent. In this work we provide a framework to construct…”
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