Now showing items 1-8 of 8

  • 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 ...
  • Developing a Dataset for Technology Structure Mining 

    QasemiZadeh, Behrang; Buitelaar, Paul; Monaghan, Fergal (IEEE, 2010)
    This paper describes steps that have been taken to construct a development dataset for the task of Technology Structure Mining. We have defined the proposed task as the process of mapping a scientific corpus into a ...
  • Domain adaptive extraction of topical hierarchies for Expertise Mining 

    Bordea, Georgeta (2013-09-11)
    In this age of pervasive internet access we have become accustomed to rely on web search for our most basic information needs. But complex queries in knowledge-intensive organisations, as well as in the academic environment, ...
  • 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 Paths in Business Filings Analysis 

    O'Riain, Seán (2012-06-18)
    Supporting competitive business analysis of financial reports through the automated analysis and interpretation of their natural language sections, presents specific challenges including information that can be ambiguous, ...
  • 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 ...
  • Using Distributional Semantics to Trace Influence and Imitation in Romantic Orientalist Poetry 

    Aggarwal, Nitish; Tonra, Justin; Buitelaar, Paul (ACL, 2014-08-23)
    In this paper, we investigate whether textual analysis can yield evidence of shared vocabulary orformal textual characteristics in the works of 19th century poets Lord Byron and Thomas Moorein the genre of Romantic ...