activity
20182022
most citedLarge-scale Evaluation of Transformer-based Article Encoders on the Task of Citation Recommendation

2 citations · 2 across the 1 of their papers we have counts for

collaborators

5 papers

cs.IR20222 cited

Large-scale Evaluation of Transformer-based Article Encoders on the Task of Citation Recommendation

Zoran Medić, Jan Šnajder

Recently introduced transformer-based article encoders (TAEs) designed to produce similar vector representations for mutually related scientific articles have demonstrated strong p…

cs.IR2020

A Topic Coverage Approach to Evaluation of Topic Models

Damir Korenčić, Strahil Ristov, Jelena Repar +1

Topic models are widely used unsupervised models capable of learning topics - weighted lists of words and documents - from large collections of text documents. When topic models ar…

cs.CL2020

Staying True to Your Word: (How) Can Attention Become Explanation?

Martin Tutek, Jan Šnajder

The attention mechanism has quickly become ubiquitous in NLP. In addition to improving performance of models, attention has been widely used as a glimpse into the inner workings of…

cs.CL2018

Not Just Depressed: Bipolar Disorder Prediction on Reddit

Ivan Sekulić, Matej Gjurković, Jan Šnajder

Bipolar disorder, an illness characterized by manic and depressive episodes, affects more than 60 million people worldwide. We present a preliminary study on bipolar disorder predi…

cs.CL2018

Iterative Recursive Attention Model for Interpretable Sequence Classification

Martin Tutek, Jan Šnajder

Natural language processing has greatly benefited from the introduction of the attention mechanism. However, standard attention models are of limited interpretability for tasks tha…