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Combining lexical and spatial knowledge to predict spatial relations between objects in images
(ACL Anthology, 2016-08-11)
Explicit representations of images are useful for linguistic applications related to images. We design a representation based on first-order models that capture the objects present in an image as well as their spatial ...
Semantic relation classification: task formalisation and refinement
(Association for Computational Linguistics, 2016-12-12)
The identification of semantic relations between terms within texts is a fundamental task in Natural Language Processing which can support applications requiring a lightweight semantic interpretation model. Currently, ...
A Twitter sentiment gold standard for the Brexit referendum
(CEUR Workshop Proceedings, 2016-09-12)
A Twitter Sentiment Gold Standard for the Brexit Referendum Manuela Hürlimann, Brian Davis Insight Centre for Data Analytics National University of Ireland Galway, Ireland {first.last}@insight-centre.org Keith Cortis, André ...
In or out? Real-time monitoring of BREXIT sentiment on Twitter
(CEUR Workshop Proceedings, 2016-09-12)
The SSIX (Social Sentiment analysis financial IndeXes) project is a European Innovation Project sponsored by the European Commission under the Horizon 2020 framework. SSIX aims to provide European SMEs with a collection ...
Dublin City University and Partners' participation in the INS and VTT Tracks at TRECVid 2016
(2016-11-14)
Dublin City University participated with a consortium of colleagues from NUI Galway and Universitat Polit`ecnica de Catalunya in two tasks in TRECVid 2016, Instance Search (INS) and Video to Text (VTT). For the INS task ...
A linked data-based decision tree classifier to review movies
(CEUR-WS.org, 2015)
In this paper, we describe our contribution to the 2015 Linked Data Mining Challenge. The proposed task is concerned with the prediction of review of movies as good or bad , as does Metacritic website based on critics ...
A hybrid method for rating prediction using linked data features and text reviews
(CEUR-WS.org, 2016)
This paper describes our entry for the Linked Data Mining Challenge 2016, which poses the problem of classifying music albums as good or bad by mining Linked Data. The original labels are assigned according to aggregated ...
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 ...
Learning content patterns from linked data
(CEUR-WS.org, 2014)
Linked Data (LD) datasets (e.g., DBpedia, Freebase) are used in many knowledge extraction tasks due to the high variety of domains they cover. Unfortunately, many of these datasets do not provide a description for their ...
Triplifying Wikipedia's tables
(CEUR-WS.org, 2013)
We are currently investigating methods to triplify the content of Wikipedia's tables. We propose that existing knowledge-bases can be leveraged to semi-automatically extract high-quality facts (in the form of RDF triples) ...