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The ACL RD-TEC: A Dataset for Benchmarking Terminology Extraction and Classification in Computational Linguistics
(2014)
This paper introduces ACL RD-TEC: a dataset for evaluating the extraction and classification of terms from literature in the domain of computational linguistics. The dataset is derived from the Association for Computational ...
GenomeSnip: Fragmenting the Genomic Wheel to augment discovery in cancer research
(2014)
Cancer genomics researchers have greatly benefited from high-throughput technologies for the characterization of genomic alterations in patients. These voluminous genomics datasets when supplemented with the appropriate ...
Discovering Domain-Specific Public SPARQL Endpoints: A Life-Sciences Use-Case
(2014)
A significant portion of the LOD cloud consists of Life Sciences data sets. The LOD cloud contains billions of clinical
facts linked together forming an interlinked Web of Clinical Data . However, tools for new publishers ...
Using linked data to mine RDF from wikipedia's tables
(ACM, 2014)
The tables embedded in Wikipedia articles contain rich, semi-structured encyclopaedic content. However, the cumulative content of these tables cannot be queried against. We thus propose methods to recover the semantics of ...
SemanTex: semantic text exploration using document links implied by conceptual networks extracted from the texts
(ACMCEUR-WS.org, 2014)
Despite of advances in digital document processing, exploration of implicit relationships
within large amounts of textual resources can still be daunting. This
is partly due to the ‘black-box’ nature of most current ...
Random Manhattan Integer Indexing: Incremental L1 Normed Vector Space Construction
(2014)
Vector space models (VSMs) are mathematically well-defined frameworks that have been widely used in the distributional approaches to semantics. In VSMs, high-dimensional vectors represent linguistic entities. In an ...
Where is the News Breaking? Towards a Location-based Event Detection Framework for Journalists
(Springer, 2014)
The rise of user-generated content (UCG) as a source of information in the journalistic lifecycle is driving the need for automated methods to detect, filter, contextualise and verify citizen reports of breaking news ...
What just happened? A Framework for Social Event Detection and Contextualisation
(2014-10-21)
In course of a breaking news event, such as
natural calamity, political uproar etc., a massive
crowd sourced data is generated over social media
which makes social media platforms an important
source of information in ...
Towards Social Event Detection and Contextualisation for Journalists
(2014-08-23)
Social media platforms have become an important source of information in course of a break-
ing news event, such as natural calamity, political uproar, etc. News organisations and journal-
ists are increasingly realising ...
Hot Topics and Schisms in NLP: Community and Trend Analysis with Saffron on ACL and LREC Proceedings
(2014)
In
this paper we present a comparative analysis of two series
of conferences in the field of Computational Linguistics, the
LREC conference and the ACL conference. Conference proceedings were ...










