@proceedings{nlp:raslan24conf,
  title = {{Proceedings of the 18th Workshop on Recent Advances in Slavonic
      Natural Languages Processing, RASLAN 2024}},
  year = 2024,
  editor = {Ale{\v s} Hor{\'a}k and Pavel Rychl{\'y} and Adam Rambousek},
  month = {Dec},
  pages = {176},
  publisher = {Tribun EU},
  isbn = {978-80-263-1835-4},
  issn = {2336-4289},
  address = {Brno, Czech Republic},
  url = {http://raslan2024.nlp-consulting.net/},
  annote = {The RASLAN Workshop is an event dedicated to the exchange of
      information between research teams working on the projects of
      computer processing of Slavonic languages and related areas.
      RASLAN is focused on theoretical as well as technical aspects
      of the project work, on presentations of verified methods
      together with descriptions of development trends. The workshop
      also serves as a place for discussion about new ideas.
      This proceedings contain original contributions written for
      researchers and advanced students interested in computational
      linguistics research of Slavonic languages (text corpora and
      tagging, syntactic parsing, sense disambiguation, semantic
      networks and ontologies, knowledge representation and applied
      systems and software).},
  keywords = {natural language processing, NLP,
        text corpora and tagging,
        neural language modelling,
        syntactic parsing, sense disambiguation,
        machine translation, computer lexicography,
        semantic networks and ontologies,
        semantic web, knowledge representation,
        logical analysis of natural language,
        applied systems and software for NLP},
  bibsource = {RASLAN OC, http://raslan2024.nlp-consulting.net/}
}

@inproceedings{nlp:raslan24conf/pp3-16,
    title={{From Examples to Patterns: LLM-Generated Regular Expressions for Entity Extraction in Czech Clinical Texts}},
    booktitle={Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2024},
    author={Petr Zelina},
    year={2024},
    pages={3--16},
    crossref={nlp:raslan24conf},
    bibsource = {RASLAN OC, http://raslan2024.nlp-consulting.net/, paper ID 6}
}

@inproceedings{nlp:raslan24conf/pp17-24,
    title={{Negation Disrupts Compositionality in Language Models: The Czech Usecase}},
    booktitle={Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2024},
    author={Tereza Vrabcová and Petr Sojka},
    year={2024},
    pages={17--24},
    crossref={nlp:raslan24conf},
    bibsource = {RASLAN OC, http://raslan2024.nlp-consulting.net/, paper ID 11}
}

@inproceedings{nlp:raslan24conf/pp25-33,
    title={{SlamaTrain -- Representative Training Dataset for Slavonic Large Language Models}},
    booktitle={Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2024},
    author={Marek Medveď and Radoslav Sabol and Aleš Horák},
    year={2024},
    pages={25--33},
    crossref={nlp:raslan24conf},
    bibsource = {RASLAN OC, http://raslan2024.nlp-consulting.net/, paper ID 13}
}

@inproceedings{nlp:raslan24conf/pp37-46,
    title={{Fantastic Examples and Where to Find Them: Compiling Czech Dataset for Evaluating Dictionary Examples}},
    booktitle={Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2024},
    author={Michaela Denisová and Pavel Rychlý},
    year={2024},
    pages={37--46},
    crossref={nlp:raslan24conf},
    bibsource = {RASLAN OC, http://raslan2024.nlp-consulting.net/, paper ID 1}
}

@inproceedings{nlp:raslan24conf/pp47-57,
    title={{Quantitative Assessment of Intersectional Empathetic Bias and Understanding}},
    booktitle={Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2024},
    author={Vojtěch Formánek and Ondřej Sotolář},
    year={2024},
    pages={47--57},
    crossref={nlp:raslan24conf},
    bibsource = {RASLAN OC, http://raslan2024.nlp-consulting.net/, paper ID 3}
}

@inproceedings{nlp:raslan24conf/pp59-64,
    title={{Named Entity Alignment in Czech-English Parallel Data}},
    booktitle={Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2024},
    author={Zuzana Nevěřilová and Hana Žižková},
    year={2024},
    pages={59--64},
    crossref={nlp:raslan24conf},
    bibsource = {RASLAN OC, http://raslan2024.nlp-consulting.net/, paper ID 10}
}

@inproceedings{nlp:raslan24conf/pp65-74,
    title={{Annotating Health Records: Does Ground Truth Even Exist?}},
    booktitle={Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2024},
    author={Kristof Anetta},
    year={2024},
    pages={65--74},
    crossref={nlp:raslan24conf},
    bibsource = {RASLAN OC, http://raslan2024.nlp-consulting.net/, paper ID 12}
}

@inproceedings{nlp:raslan24conf/pp77-83,
    title={{Impact of Data Split and Vocabulary Size in Neural Machine Translation for Slovak Language}},
    booktitle={Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2024},
    author={Matúš Kleštinec},
    year={2024},
    pages={77--83},
    crossref={nlp:raslan24conf},
    bibsource = {RASLAN OC, http://raslan2024.nlp-consulting.net/, paper ID 7}
}

@inproceedings{nlp:raslan24conf/pp85-100,
    title={{A Comparative Study of Text Retrieval Models on DaReCzech}},
    booktitle={Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2024},
    author={Jakub Stetina  and  Martin Fajcik  and  Michal Štefánik  and  Michal Hradis },
    year={2024},
    pages={85--100},
    crossref={nlp:raslan24conf},
    bibsource = {RASLAN OC, http://raslan2024.nlp-consulting.net/, paper ID 4}
}

@inproceedings{nlp:raslan24conf/pp101-107,
    title={{A New Czech Pipeline in Sketch Engine}},
    booktitle={Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2024},
    author={Vlasta Ohlídalová  and  Miloš Jakubíček},
    year={2024},
    pages={101--107},
    crossref={nlp:raslan24conf},
    bibsource = {RASLAN OC, http://raslan2024.nlp-consulting.net/, paper ID 15}
}

@inproceedings{nlp:raslan24conf/pp109-118,
    title={{Rubric Extraction for Popular Science Articles in the Russian Language}},
    booktitle={Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2024},
    author={Maria Khokhlova and Natalia Safonova},
    year={2024},
    pages={109--118},
    crossref={nlp:raslan24conf},
    bibsource = {RASLAN OC, http://raslan2024.nlp-consulting.net/, paper ID 14}
}

@inproceedings{nlp:raslan24conf/pp121-128,
    title={{Lexical Density in Slovak Speech: A Non-invasive Indicator for Alzheimer’s Disease and Mild Cognitive Impairment}},
    booktitle={Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2024},
    author={Nataliia Časnochova Zozuk and Lívia Kelebercová and Daša Munková},
    year={2024},
    pages={121--128},
    crossref={nlp:raslan24conf},
    bibsource = {RASLAN OC, http://raslan2024.nlp-consulting.net/, paper ID 8}
}

@inproceedings{nlp:raslan24conf/pp129-138,
    title={{Improvement of Language Identification Processing Speed}},
    booktitle={Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2024},
    author={Emma Bednaříková and Pavel Rychlý},
    year={2024},
    pages={129--138},
    crossref={nlp:raslan24conf},
    bibsource = {RASLAN OC, http://raslan2024.nlp-consulting.net/, paper ID 9}
}

@inproceedings{nlp:raslan24conf/pp139-152,
    title={{WebMap: Improving LLM Web Agents with Semantic Search for Relevant Web Pages}},
    booktitle={Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2024},
    author={Michal Spiegel and Aleš Horák},
    year={2024},
    pages={139--152},
    crossref={nlp:raslan24conf},
    bibsource = {RASLAN OC, http://raslan2024.nlp-consulting.net/, paper ID 5}
}

@inproceedings{nlp:raslan24conf/pp153-164,
    title={{Improving Layout Analysis of Scanned Invoices Using Line Detection}},
    booktitle={Proceedings of Recent Advances in Slavonic Natural Language Processing, RASLAN 2024},
    author={Hien Thi Ha },
    year={2024},
    pages={153--164},
    crossref={nlp:raslan24conf},
    bibsource = {RASLAN OC, http://raslan2024.nlp-consulting.net/, paper ID 2}
}