Browsing Data Science Institute by Author "Pereira, Bianca"

Now showing items 1-4 of 4

    • Entity Linking with Multiple Knowledge Bases: An Ontology Modularization Approach 

      Pereira, Bianca (Springer, 2014-10-19)
      The recognition of entities in text is the basis for a series of applications. Synonymy and Ambiguity are among the biggest challenges in identifying such entities. Both challenges are addressed by Entity Linking, the task ...

    • Generating linked-data based domain-specific sentiment lexicons from legacy language and semantic resources 

      Vulcu, Gabriela; Buitelaar, Paul; Negi, Sapna; Pereira, Bianca; Arcan, Mihael; Coughlan, Barry; Sanchez, J. Fernando; Iglesias, Carlos A. (European Language Resources Association, 2014)
      We present a methodology for legacy language resource adaptation that generates domain-specific sentiment lexicons organized around domain entities described with lexical information and sentiment words described in the ...

    • Lessons learnt from the Named Entity rEcognition and Linking (NEEL) challenge series 

      Rizzo, Giuseppe; Pereira, Bianca; Varga, Andrea; van Erp, Marieke; Cano Basave, Amparo Elizabeth (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 ...

    • Taxonomy extraction for customer service knowledge base construction 

      Pereira, Bianca; Robin, Cécile; Daudert, Tobias; McCrae, John P.; Mohanty, Pranab; Buitelaar, Paul (Springer, 2019-11-04)
      Customer service agents play an important role in bridging the gap between customers vocabulary and business terms. In a scenario where organisations are moving into semi-automatic customer service, se- mantic technologies ...