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Lessons learnt from the Named Entity rEcognition and Linking (NEEL) challenge series
(2017-03-13)
The large number of tweets generated daily is providing policy makers with means to obtain insights into recent events around the globe in near real-time. The main barrier for extracting such insights is the impossibility ...
Separating the wheat from the chaff: Evaluating success determinants for online Q&A communities
(NUI Galway, 2017-05-15)
Researchers and community managers try to measure the success of online communities using a variety of success determinants, such as member activity, turnover and interaction. Although many success determinants have been ...
Identifying equivalent relation paths in knowledge graphs
(Springer Verlag, 2017-06-19)
Relation paths are sequences of relations with inverse that allow for complete exploration of knowledge graphs in a two-way unconstrained manner. They are powerful enough to encode complex relationships between entities ...
Using drug similarities for discovery of possible adverse reactions
(AMIA, 2017-02-10)
We propose a new computational method for discovery of possible adverse drug reactions. The method consists of two key steps. First we use openly available resources to semi-automatically compile a consolidated data set ...
Open social data crime analytics
(IJCAI 17 Melbourne, 2017-07-20)
Crime is under-reported. Reporting crime requires the victim to complete a number of administrative obligations. These obligations, as well as the nature of the crime, may create an inertia that discourages the reporting ...
Classifying sentential modality in legal language: A use case in financial regulations, acts and directives
(ACM, 2017-06-12)
Texts expressed in legal language are often di cult and time consuming
for lawyers to read through, particularly for the purpose of
identifying relevant deontic modalities (obligations, prohibitions
and permissions). ...
Mining cardinalities from knowledge bases
(Springer Verlag, 2017-08-01)
Cardinality is an important structural aspect of data that has not received enough attention in the context of RDF knowledge bases (KBs). Information about cardinalities can be useful for data users and knowledge engineers ...
Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models
(Oxford University Press (OUP), 2017-08-18)
Timely identification of adverse drug reactions (ADRs) is highly important in the domains of public health and pharmacology. Early discovery of potential ADRs can limit their effect on patient lives and also make drug ...
Grand challenge: Automatic anomaly detection over sliding windows
(Association for Computing Machinery ACM, 2017-06-19)
With the advances in the Internet of Things and rapid generation of
vast amounts of data, there is an ever growing need for leveraging
and evaluating event-based systems as a basis for building realtime
data analytics ...
Unsupervised learning for understanding student achievement in a distance learning setting
(IEEE, 2017-04-25)
Many factors could affect the achievement of students in distance learning settings. Internal factors such as age, gender, previous education level and engagement in online learning activities can play an important role ...