Now showing items 1-13 of 13

    • The ACL RD-TEC: A Dataset for Benchmarking Terminology Extraction and Classification in Computational Linguistics 

      QasemiZadeh, Behrang; Handschuh, Siegfried (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 ...
    • The ACL RD-TEC: Annotation Guideline (Ver 1.0) 

      QasemiZadeh, Behrang (Insight Centre for Data Analytics, 2014)
      Annotation Guidelines for the ACL RD-TEC (ver 1.0) is set out in this document. The annotator is required to understand the meaning of term, technology term, and invalid term before commencing the annotation task. A de ...
    • 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 ...
    • Evaluation of Technology Term Recognition with Random Indexing 

      QasemiZadeh, Behrang; Handschuh, Siegfried (2014)
      In this paper, we propose a method that combines the principles of automatic term recognition and the distributional hypothesis to identify technology terms from a corpus of scientific publications. We employ the ...
    • Investigating Context Parameters in Technology Term Recognition 

      QasemiZadeh, Behrang; Handschuh, siegfried (2014)
      We propose and evaluate the task of technology term recognition: a method to extract technology terms at a synchronic level from a corpus of scientific publications. The proposed method is built on the principles of ...
    • Investigating the use of distributional semantic models for co-hyponym identification in special corpora 

      QasemiZadeh, Behrang (2015-06-15)
      Knowledge is assumed by cognitive science to consist of concepts that are organised and maintained by complex processes taking place in human minds. These processes are not yet accessible directly. Language is still the ...
    • Random Indexing Explained with High Probability 

      QasemiZadeh, Behrang (2015)
      Random indexing (RI) is an incremental method for constructing a vector space model (VSM) with a reduced dimensionality. Previously, the method has been justified using the mathematical framework of Kanerva's sparse ...
    • Random indexing revisited 

      QasemiZadeh, Behrang (Springer, 2015-05-17)
      Random indexing is a method for constructing vector spaces at a reduced dimensionality. Previously, the method has been proposed using Kanerva's sparse distributed memory model. Although intuitively plausible, this ...
    • Random Manhattan Indexing 

      QasemiZadeh, Behrang; Handschuh, Siegfried (2014)
      Vector space models (VSMs) are mathematically well-defined frameworks that have been widely used in text processing. In these models, high-dimensional, often sparse vectors represent text units. In an application, the ...
    • Random Manhattan Integer Indexing: Incremental L1 Normed Vector Space Construction 

      QasemiZadeh, Behrang; Handschuh, Siegfried (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 ...
    • 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 ...
    • A Speech Based Approach to Surveillance Video Retrieval 

      QasemiZadeh, Behrang; O'Neill, Ian; Shen, Jiali; Miller, Paul; Hanna, Philip; Stwart, Darryl; Wang, Hongbin (2009)
      This paper describes the anatomy of a pilot surveillance system with a speech-based interface for content-based retrieval of video data. The proposed system relies on an ontology-based information sharing architecture and ...
    • Towards Technology Structure Mining from Scientific Literature 

      QasemiZadeh, Behrang (Springer Berlin Heidelberg, 2010)
      This paper introduces the task of Technology-Structure Mining to support Management of Technology. We propose a linguistic based approach for identification of Technology Interdependence through extraction of technology ...