activity
20142017
most citedWords are Malleable: Computing Semantic Shifts in Political and Media Discourse

15 citations · 41 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL201715 cited

Words are Malleable: Computing Semantic Shifts in Political and Media Discourse

Hosein Azarbonyad, Mostafa Dehghani, Kaspar Beelen +3

Recently, researchers started to pay attention to the detection of temporal shifts in the meaning of words. However, most (if not all) of these approaches restricted their efforts…

cs.IR2017

Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity

Hosein Azarbonyad, Mostafa Dehghani, Tom Kenter +3

A high degree of topical diversity is often considered to be an important characteristic of interesting text documents. A recent proposal for measuring topical diversity identifies…

cs.IR201610 cited

Generalized Group Profiling for Content Customization

Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps +1

There is an ongoing debate on personalization, adapting results to the unique user exploiting a user's personal history, versus customization, adapting results to a group profile s…

cs.IR20143 cited

Learning to Exploit Different Translation Resources for Cross Language Information Retrieval

Hosein Azarbonyad, Azadeh Shakery, Heshaam Faili

One of the important factors that affects the performance of Cross Language Information Retrieval(CLIR)is the quality of translations being employed in CLIR. In order to improve th…

cs.NE201413 cited

A Genetic Algorithm for solving Quadratic Assignment Problem(QAP)

Hosein Azarbonyad, Reza Babazadeh

The Quadratic Assignment Problem (QAP) is one of the models used for the multi-row layout problem with facilities of equal area. There are a set of n facilities and a set of n loca…