38 citations · 146 across the 18 of their papers we have counts for
Showing 2018Show all
2 papers · 1 filter
cs.CL2018
HiTR: Hierarchical Topic Model Re-estimation for Measuring Topical Diversity of Documents
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.IR2018
Learning to Rank from Samples of Variable Quality
Mostafa Dehghani, Jaap Kamps
Training deep neural networks requires many training samples, but in practice, training labels are expensive to obtain and may be of varying quality, as some may be from trusted ex…