Search Results - "SNAJDER, Jan"

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  1. 1

    Paraphrase-focused learning to rank for domain-specific frequently asked questions retrieval by Karan, Mladen, Šnajder, Jan

    Published in Expert systems with applications (01-01-2018)
    “…•We study the potential of supervised learning to rank for FAQ retrieval.•Supervised models offer performance improvements for this task.•We explored…”
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    Journal Article
  2. 2

    Document-based topic coherence measures for news media text by Korenčić, Damir, Ristov, Strahil, Šnajder, Jan

    Published in Expert systems with applications (30-12-2018)
    “…•Novel class of document-based coherence measures for news topics proposed and evaluated.•High-performing document-based coherence measure…”
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    Journal Article
  3. 3

    Event graphs for information retrieval and multi-document summarization by GLAVAS, Goran, SNAJDER, Jan

    Published in Expert systems with applications (01-11-2014)
    “…With the number of documents describing real-world events and event-oriented information needs rapidly growing on a daily basis, the need for efficient…”
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    Journal Article
  4. 4

    An empirical study of the design choices for local citation recommendation systems by Medić, Zoran, Šnajder, Jan

    Published in Expert systems with applications (15-08-2022)
    “…As the number of published research articles grows on a daily basis, it is becoming increasingly difficult for scientists to keep up with the published work…”
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    Journal Article
  5. 5

    Toward Practical Usage of the Attention Mechanism as a Tool for Interpretability by Tutek, Martin, Snajder, Jan

    Published in IEEE access (2022)
    “…Natural language processing (NLP) has been one of the subfields of artificial intelligence much affected by the recent neural revolution. Architectures such as…”
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    Journal Article
  6. 6

    SIMPA: Statement-to-Item Matching Personality Assessment from text by Gjurković, Matej, Vukojević, Iva, Šnajder, Jan

    Published in Future generation computer systems (01-05-2022)
    “…Automated text-based personality assessment (ATBPA) methods can analyze large amounts of text data and identify nuanced linguistic personality cues. However,…”
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    Journal Article
  7. 7

    A Survey of Citation Recommendation Tasks and Methods by Medic, Zoran, Snajder, Jan

    “…Scientific articles store vast amounts of knowledge amassed through many decades of research. They serve to communicate research results among scientists but…”
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    Journal Article Paper
  8. 8

    Digital news media as a social resilience proxy: A computational political economy perspective by Bilić, Paško, Dukić, David, Arambašić, Lucija, Gjurković, Matej, Šnajder, Jan, Furman, Ivo

    Published in New media & society (29-11-2023)
    “…This article investigates how the COVID-19 pandemic was framed in public, private and non-profit media production. It conceptualises digital news as an…”
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    Journal Article
  9. 9

    Closed-domain event extraction for hard news event monitoring: a systematic study by Dukic, David, Dosilovic, Filip Karlo, Pluscec, Domagoj, Snajder, Jan

    Published in PeerJ. Computer science (10-10-2024)
    “…News event monitoring systems allow real-time monitoring of a large number of events reported in the news, including the urgent and critical events comprising…”
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    Journal Article
  10. 10

    Representing word meaning in context via lexical substitutes by Alagić, Domagoj, Šnajder, Jan

    Published in Automatika (03-04-2021)
    “…Representing the meaning of individual words is crucial for most natural language processing (NLP) tasks. This, however, is a challenge because word meaning…”
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    Journal Article Paper
  11. 11

    Structured prediction models for argumentative claim parsing from text by Boltužić, Filip, Šnajder, Jan

    Published in Automatika (02-07-2020)
    “…The internet abounds with opinions expressed in text. While a number of natural language processing techniques have been proposed for opinion analysis from…”
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    Journal Article Paper
  12. 12

    A Topic Coverage Approach to Evaluation of Topic Models by Korencic, Damir, Ristov, Strahil, Repar, Jelena, Snajder, Jan

    Published in IEEE access (2021)
    “…Topic models are widely used unsupervised models capable of learning topics - weighted lists of words and documents - from large collections of text documents…”
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    Journal Article
  13. 13

    Extending lexical association measures for collocation extraction by PETROVIC, Saša, SNAJDER, Jan, DALBELO BASIC, Bojana

    Published in Computer speech & language (01-04-2010)
    “…Collocations are linguistic phenomena that occur when two or more words appear together more often than by chance and whose meaning often cannot be inferred…”
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    Journal Article
  14. 14

    Word sense induction using leader-follower clustering of automatically generated lexical substitutes by Akkasi, Abbas, Snajder, Jan

    Published in Expert systems with applications (01-11-2021)
    “…•Making lexical substitutes (LS) can improve the performance of WSI systems.•Combining the vector space and graph clustering outperforms the performance of…”
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    Journal Article
  15. 15

    TMT: Object-Oriented Text Classification Library by Silic, Artur, Saric, Frane, Basic, Bojana Dalbelo, Snajder, Jan

    “…This paper describes an object-oriented library for text classification called TMT (Text Mining Tools). We put forward the advantages of object-oriented design…”
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    Conference Proceeding
  16. 16

    Building a search engine model with morphological normalization support by Mijic, J., Basic, B.D., Snajder, J.

    “…Searching a collection of documents can seem like an easy task, but manipulating textual data can be difficult because the data are mostly unstructured. We…”
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    Conference Proceeding
  17. 17

    Tagging Named Entities in Croatian Tweets by Baksa, Krešimir, Golović, Dino, Glavaš, Goran, Šnajder, Jan

    Published in Slovenscina 2.0 (05-02-2017)
    “…Named entity extraction tools designed for recognizing named entities in texts written in standard language (e.g., news stories or legal texts) have been shown…”
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    Journal Article
  18. 18

    Comparison of collocation extraction measures for document indexing by Petrovic, S., Snajder, J., Dalbelo-Basic, B., Kolar, M.

    “…Automatic extraction of collocations from a corpus is a well-known problem in the field of natural language processing. It is typically carried out by…”
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    Conference Proceeding
  19. 19

    Modeli za predikcijo oblikoslovnih paradigem za hrvaške besede by Šnajder, Jan

    Published in Slovenscina 2.0 (01-12-2013)
    “…Morfološka analiza je predpogoj za številne naloge pri računalniški obdelavi jezika. Pri oblikoslovno bogatih jezikih, kot je hrvaščina, temelji morfološka…”
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    Journal Article
  20. 20

    Classification of Czech Sign Language Alphabet Diacritics via LSTM by Snajder, Jan, Krejsa, Jiri

    “…The paper presents the classification of image sequences of the single-handed Czech sign language alphabet diacritics. Since diacritics are expressed by the…”
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    Conference Proceeding