6 citations · 13 across the 9 of their papers we have counts for
3 papers · 1 filter
SS4MCT: A Statistical Stemmer for Morphologically Complex Texts
Javid Dadashkarimi, Hossein Nasr Esfahani, Heshaam Faili +1
There have been multiple attempts to resolve various inflection matching problems in information retrieval. Stemming is a common approach to this end. Among many techniques for ste…
Low-dimensional Query Projection based on Divergence Minimization Feedback Model for Ad-hoc Retrieval
Javid Dadashkarimi, Masoud Jalili Sabet, Heshaam Faili +1
Low-dimensional word vectors have long been used in a wide range of applications in natural language processing. In this paper we shed light on estimating query vectors in ad-hoc r…
Dimension Projection among Languages based on Pseudo-relevant Documents for Query Translation
Javid Dadashkarimi, Mahsa S. Shahshahani, Amirhossein Tebbifakhr +2
Using top-ranked documents in response to a query has been shown to be an effective approach to improve the quality of query translation in dictionary-based cross-language informat…