Browsing Data Science Institute by Author "Bordea, Georgeta"

Now showing items 1-6 of 6

    • Benchmarking Domain-Specific Expert Search Using Workshop Program Committees 

      Bordea, Georgeta; Buitelaar, Paul (ACM, 2013)
      Traditionally, relevance assessments for expert search have been gathered through self-assessment or based on the opinions of co-workers. We introduce three benchmark datasets1 for expert search that use conference workshops ...

    • Domain-independent term extraction through domain modelling 

      Bordea, Georgeta; Buitelaar, Paul; Polajnar, Tamara (10th International Conference on Terminology and Artificial Intelligence, 2013-09-11)
      Extracting general or intermediate level terms is a relevant problem that has not received much attention in literature. Current approaches for term extraction rely on contrastive corpora to identify domain-specific terms, ...

    • Hot Topics and Schisms in NLP: Community and Trend Analysis with Saffron on ACL and LREC Proceedings 

      Buitelaar, Paul; Bordea, Georgeta; Coughlan, Barry (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 ...

    • Semantic representation and enrichment of information retrieval experimental data 

      Bordea, Georgeta; Buitelaar, Paul (Springer Berlin Heidelberg, 2016-05-28)
      Experimental evaluation carried out in international large-scale campaigns is a fundamental pillar of the scientific and technological advancement of information retrieval (IR) systems. Such evaluation activities produce ...

    • SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2) 

      Bordea, Georgeta; Lefever, Els; Buitelaar, Paul (Insight Centre for Data Analytics, 2016-06-16)
      This paper describes the second edition of the shared task on Taxonomy Extraction Evaluation organised as part of SemEval 2016. This task aims to extract hypernym-hyponym relations between a given list of domain-specific ...

    • Semi-Supervised Technical Term Tagging With Minimal User Feedback 

      Buitelaar, Paul; Bordea, Georgeta; QasemiZadeh, Behrang (2012)
      In this paper, we address the problem of extracting technical terms automatically from an unannotated corpus. We introduce a technology term tagger, that is based on Liblinear Support Vector Machines and employs linguistic ...