49 citations · 164 across the 15 of their papers we have counts for
15 papers
From Zero to Hero: Harnessing Transformers for Biomedical Named Entity Recognition in Zero- and Few-shot Contexts
Miloš Košprdić, Nikola Prodanović, Adela Ljajić +2
Supervised named entity recognition (NER) in the biomedical domain depends on large sets of annotated texts with the given named entities. The creation of such datasets can be time…
A Survey of Resources and Methods for Natural Language Processing of Serbian Language
Ulfeta A. Marovac, Aldina R. Avdić, Nikola Lj. Milošević
The Serbian language is a Slavic language spoken by over 12 million speakers and well understood by over 15 million people. In the area of natural language processing, it can be co…
Comparison of biomedical relationship extraction methods and models for knowledge graph creation
Nikola Milosevic, Wolfgang Thielemann
Biomedical research is growing at such an exponential pace that scientists, researchers, and practitioners are no more able to cope with the amount of published literature in the d…
MASK: A flexible framework to facilitate de-identification of clinical texts
Nikola Milosevic, Gangamma Kalappa, Hesam Dadafarin +2
Medical health records and clinical summaries contain a vast amount of important information in textual form that can help advancing research on treatments, drugs and public health…
Deep learning guided Android malware and anomaly detection
Nikola Milosevic, Junfan Huang
In the past decade, the cyber-crime related to mobile devices has increased. Mobile devices, especially the ones running on Android operating system are particularly interesting to…
GNTeam at 2018 n2c2: Feature-augmented BiLSTM-CRF for drug-related entity recognition in hospital discharge summaries
Maksim Belousov, Nikola Milosevic, Ghada Alfattni +2
Monitoring the administration of drugs and adverse drug reactions are key parts of pharmacovigilance. In this paper, we explore the extraction of drug mentions and drug-related inf…
Extracting adverse drug reactions and their context using sequence labelling ensembles in TAC2017
Maksim Belousov, Nikola Milosevic, William Dixon +1
Adverse drug reactions (ADRs) are unwanted or harmful effects experienced after the administration of a certain drug or a combination of drugs, presenting a challenge for drug deve…
From web crawled text to project descriptions: automatic summarizing of social innovation projects
Nikola Milosevic, Dimitar Marinov, Abdullah Gok +1
In the past decade, social innovation projects have gained the attention of policy makers, as they address important social issues in an innovative manner. A database of social inn…
A framework for information extraction from tables in biomedical literature
Nikola Milosevic, Cassie Gregson, Robert Hernandez +1
The scientific literature is growing exponentially, and professionals are no more able to cope with the current amount of publications. Text mining provided in the past methods to…
Creating a contemporary corpus of similes in Serbian by using natural language processing
Nikola Milosevic, Goran Nenadic
Simile is a figure of speech that compares two things through the use of connection words, but where comparison is not intended to be taken literally. They are often used in everyd…
As Cool as a Cucumber: Towards a Corpus of Contemporary Similes in Serbian
Nikola Milosevic, Goran Nenadic
Similes are natural language expressions used to compare unlikely things, where the comparison is not taken literally. They are often used in everyday communication and are an impo…
Equity forecast: Predicting long term stock price movement using machine learning
Nikola Milosevic
Long term investment is one of the major investment strategies. However, calculating intrinsic value of some company and evaluating shares for long term investment is not easy, sin…
Marvin: Semantic annotation using multiple knowledge sources
Nikola Milosevic
People are producing more written material then anytime in the history. The increase is so high that professionals from the various fields are no more able to cope with this amount…
History of malware
Nikola Milošević
In past three decades almost everything has changed in the field of malware and malware analysis. From malware created as proof of some security concept and malware created for fin…
Stemmer for Serbian language
Nikola Milošević
In linguistic morphology and information retrieval, stemming is the process for reducing inflected (or sometimes derived) words to their stem, base or root form; generally a writte…