Browsing Data Science Institute (Conference Papers) by Author "QasemiZadeh, Behrang"
Now showing items 18 of 8

The ACL RDTEC: A Dataset for Benchmarking Terminology Extraction and Classification in Computational Linguistics
QasemiZadeh, Behrang; Handschuh, Siegfried (2014)This paper introduces ACL RDTEC: 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 ... 
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 ... 
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 ... 
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, 20150517)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 welldefined frameworks that have been widely used in text processing. In these models, highdimensional, 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 welldefined frameworks that have been widely used in the distributional approaches to semantics. In VSMs, highdimensional vectors represent linguistic entities. In an ... 
Towards Technology Structure Mining from Scientific Literature
QasemiZadeh, Behrang (Springer Berlin Heidelberg, 2010)This paper introduces the task of TechnologyStructure Mining to support Management of Technology. We propose a linguistic based approach for identification of Technology Interdependence through extraction of technology ...