What Makes Sense? : Searching for Strong WSD Predictors in Croatian

The goal of this research was to investigate and determine position of strong predictors for word sense disambiguation of Croatian nouns. Research was conducted using supervised learning methods and a corpus of around 70 million words. We have concluded that words in the immediate vicinity of an observed lexeme (1-5 words left and right) have the highest discriminative power. We have also measured the applicability and accuracy of the one-sense-per-discourse method and found it to be very successful as well as the impact of sentence boundaries which proved not to be a good criterion for selecting strong predictors

Evaluation of the method of calculating the planned price of timber harvesting operations

Rad se bavi prikazom metode izračuna planskih cijena pridobivanja drva, koje su predmet javnih nadmetanja u Šumsko gospodarskom društvu »Hercegbosanske šume« d.o.o. Kupres te analizom odstupanja planskih od ugovorenih/ostvarenih cijena usluga pridobivanja drva za 97 grupa odjela, koji su bili predmet javnih natječaja u 2019. i 2020. godini.Deskriptivnom i korelacijskom statističkom analizom obuhvaćeni su i pokazatelji grupa odjela na javnim natječajima: površina, neto obujam doznačenog drva, sječna gustoća, broj doznačenih stabala po ha, obujam srednjeg doznačenog stabla, nagib terena, srednja udaljenost privlačenja drva, stjenovitost terena i privlačenje drva uz nagib terena.Test zavisnih parova podataka je ukazao da postoji statistički značajna razlika između planskih i ugovorenih cijena usluga pridobivanja drva (t = 7,78, p < 0,001), a rezultati korelacijske analize potvrdili povezanost utjecajnih čimbenika izvođenja šumskih radova s ugovorenom i planskom cijenom pridobivanja drva. Uslijed statistički značajne (p < 0,05) i vrlo jake korelacije natječajima ostvarene i prikazanom metodom izračunate planske cijene usluge pridobivanja drva, ovisnost je izjednačena linearnim regresijskim modelom uz koeficijent determinacije od 0,667. Navedenim, prikazana je metoda izračuna planske cijene usluge pridobivanja drva dobar prediktor ostvarenih cijena pridobivanja drva na javnim natječajima, što govori i o samoj dobroti prikazane metode izračuna. Slaba i negativna korelacija (p < 0,05, r = -0,22) razlike ugovorene i planske cijene usluge pridobivanja drva o obujmu srednjeg doznačenog stabla, ukazala je da bi ovu pojavu u budućnosti trebalo pratiti s ciljem utvrđivanja uzroka, koji mogu biti: 1) međusobna konkurencija između izvoditelja usluga pridobivanja drva za grupe odjela sa većim srednjim obujmom doznačenoga stabla ili 2) precjenjivanje obujma srednjeg doznačenog stabla u prikazanome modelu izračuna planske cijene pridobivanja drva.Predložene su i smjernice povećanja točnosti određivanja ulaznih parametara (srednja udaljenost privlačenja drva, nagib i stjenovitost terena te privlačenje drva uz nagib terena) prikazane metode izračuna planskih cijena pridobivanja drva u cilju njenog usavršavanja. S obzirom da je izračun vezan za srednju plansku cijenu na razini šumskog gospodarstva, a koju utvrđuje uprava trgovačkog društva, neophodno je stalno praćenje tržišta, kako bi se na vrijeme moglo reagirati ukoliko bi došlo do većih oscilacija.The paper presents the method of calculating planned prices of timber harvesting operations, which are the subject of public tenders in the forest management company Hercegbosanske šume Ltd. Kupres and the analysis of deviations of the planned from the contracted (realised) prices for timber harvesting operations in 97 groups of compartments, which were the subject of public tenders in 2019 and 2020. Descriptive and correlation statistical analysis also included stand and terrain indicators in groups of compartments in public tenders: area, net volume of marked trees, harvesting density, number of marked trees per hectare, volume of medium marked tree, slope, average timber extraction distance, terrain stoniness and parameter of uphill timber extraction. The test of dependent data pairs indicated that there is a statistically significant difference between planned and contracted prices of timber harvesting operations (t = 7,78, p < 0.001), and the results of correlation analysis confirmed the connection of influential factors of forest operations with the contracted and planned timber harvesting prices. Due to the statistically significant (p < 0.05) and very strong correlation with the contracted and the planned price of the timber harvesting operations calculated by the presented method, the dependence was equalized by a linear regression model with a coefficient of determination of 0.667. In conclusion, the method of calculating the planned price of timber harvesting operations is a good predictor of what can be contracted prices in public tenders thus showing its suitability in future calculations. Weak and negative correlation (p < 0.05, r = -0.22) of the difference between the contracted and planned price of the timber harvesting operations on the volume of the medium marked tree, indicated future monitoring to determine its causes, which could be: 1) mutual competition between timber harvesting operations providers with a larger volume of medium marked tree or 2) overestimation of the volume of medium marked tree in the presented model. Guidelines for increasing the accuracy of determining input parameters (average timber extraction distance, slope, terrain stoniness, and parameter of uphill timber extraction) are also presented. Given that the calculation is related to the average planned price at the level of forest management, which is determined by the management of the company, it is necessary to constantly monitor the market in order to react in time if major oscillations occur

7th International ConferenceThe Future of Information Sciences INFuture2019: Knowledge in the Digital Age

This is the seventh publication in the series of biennial international conferences, The Future of Information Sciences (INFuture) organised by the Department of Information and Communication Sciences, Faculty of Humanities and Social Sciences, University of Zagreb. Since its beginnings twelve years ago, the INFuture conference has been providing a platform for discussing both theoretical and practical issues in information organization and information integration through the explorations of how developments in information and communication technology influence the future of the field of information sciences. Education and research in information sciences and its interdisciplinary scope and application is of particular interest to this conference which is aimed at researchers and professionals from the broad field of information and communication sciences and related professions. The title of this year's conference is INFuture2019: Knowledge in the Digital Age. The conference explores the influence the information and communication sciences have on the society as a whole.The INFuture2019 conference consists of 26 papers from 58 authors from nine countries -Austria, Croatia, Germany, Netherlands, Norway, Slovenia, South Korea, Sweden and United States