activity
20162023
most citedA Topic Coverage Approach to Evaluation of Topic Models

27 citations · 51 across the 9 of their papers we have counts for

collaborators

10 papers

cs.IR2023

Paragraph-level Citation Recommendation based on Topic Sentences as Queries

Zoran Medić, Jan Šnajder

Citation recommendation (CR) models may help authors find relevant articles at various stages of the paper writing process. Most research has dealt with either global CR, which pro…

cs.LG2022★ 3 cited

Smooth Sailing: Improving Active Learning for Pre-trained Language Models with Representation Smoothness Analysis

Josip Jukić, Jan Šnajder

Developed to alleviate prohibitive labeling costs, active learning (AL) methods aim to reduce label complexity in supervised learning. While recent work has demonstrated the benefi…

cs.CL2022

Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods

Josip Jukić, Martin Tutek, Jan Šnajder

A popular approach to unveiling the black box of neural NLP models is to leverage saliency methods, which assign scalar importance scores to each input component. A common practice…

cs.LG2022

ALANNO: An Active Learning Annotation System for Mortals

Josip Jukić, Fran Jelenić, Miroslav Bićanić +1

Supervised machine learning has become the cornerstone of today's data-driven society, increasing the need for labeled data. However, the process of acquiring labels is often expen…

cs.IR2022★ 2 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★ 27 cited

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★ 2 cited

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…

cs.CL2016★ 17 cited

Social Media Argumentation Mining: The Quest for Deliberateness in Raucousness

Jan Šnajder

Argumentation mining from social media content has attracted increasing attention. The task is both challenging and rewarding. The informal nature of user-generated content makes t…