A software system for determining the semantic similarity of short texts in Serbian

Batanović, Vuk; Furlan, Bojan; Nikolić, Boško

doi:10.1109/telfor.2011.6143778

Cited by 7 publications

(4 citation statements)

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“…Smatra se da je dozvoljena, Apache licenca ne zahteva da se modifikacije ili izvedena dela distribuiraju pod istom licencom kao original. Informacije o originalnoj licenci moraju biti sačuvane za neizmenjene delove, a osim ako nije eksplicitno navedeno, izmenjeni delovi su automatski pod Apache licencom (Batanović, 2011). Licenca dozvoljava dodelu dodatnih prava koja nisu uključena u originalnu licencu trećim licima (Rstić, 2020).…”

Section: Tipovi Licenci Otvorenog Koda I Njihova Upotrebaunclassified

Using open licensed applications in the developing programs for businesses

Milenković,

Radosavljević,

Vladisavljević

2023

Održivi razvoj

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The development of technology has led to the emergence of legal issues related to the rights and regulations of the use of content in computer technology. The legal framework for intellectual property has evolved as software has moved from being viewed as an idea or algorithm to a tangible process or machine. In this context, two opposing currents emerged: one believes that intellectual property is crucial for society and the economy, while the other denies the existence of intellectual property and advocates the impossibility of possessing knowledge.

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Section: Tipovi Licenci Otvorenog Koda I Njihova Upotrebaunclassified

Using open licensed applications in the developing programs for businesses

Milenković,

Radosavljević,

Vladisavljević

2023

Održivi razvoj

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“…Sentences from online press sources were collected for The Serbian Corpus of Paraphrases (paraphrase.sr, Table 2). A binary similarity score was manually assigned to each pair of sentences, indicating whether the sentences in the pair are semantically similar enough to be considered close paraphrases (Batanović et al, 2011). Another corpus for determining semantic similarity, The Serbian Corpus of Short News Texts -(STS.news.sr, Table 2), consists of 1192 pairs of sentences in Serbian that were collected from news sources on the internet .…”

Section: Monolingual Corporamentioning

confidence: 99%

Creating a stop word dictionary in Serbian

Marovac¹,

Avdić²,

Ljajić³

2021

Sci Pub Univ Novi Pazar Ser A

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By using natural language processing techniques, it is possible to get a lot of information from the extraction of document topics through mapping of document key words or content-based classification of documents, etc. To get this information, an important step is to separate words that carries informative value in a sentence from those words that do not affect its meaning. By using dictionaries of stop words specific to each natural language, the marking of words that do not carry meaning in the sentence is achieved. This paper presents creating a stop word dictionary in Serbian. The influence of stop words to the text processing is presented on three different data set. It is shown that by using proposed dictionary of Serbian stop words the data set dimension is reduced from 15% to 39%, while the quality of the obtained n-gram language models is improved.

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“…In our research, for the purpose of stemming, we relied on the open source implementation of a collection of stemmers for the Serbian and Croatian language, the work of Vuk Batanović [3]. The delivered library, written in the Java program language, among other things enables the processing of content of textual data files from the command line, using the following command: java -jar SCStemmers.jar StemmerID InputFile OutputFile where the StemmerID is the number of the appropriate algorithm:…”

Section: Stemmingmentioning

confidence: 99%

The Influence of Text Preprocessing Methods and Tools on Calculating Text Similarity

Petrović¹,

Stanković²

2019

FU Math Inform

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Text mining to a great extent depends on the various text preprocessing techniques. The preprocessing methods and tools which are used to prepare texts for further mining can be divided into those which are and those which are not language-dependent. The subject matter of this research was the analysis of the inﬂuence of these methods and tools on further text mining. We ﬁrst focused on the analysis of the inﬂuence on the reduction of the vector space model for the multidimensional represen-tation of text documents. We then analyzed the inﬂuence on calculating text similarity, which is the focus of this research. The conclusion we reached is that the implemen-tation of various text preprocessing methods in the Serbian language, which are used for the reduction of the vector space model for the multidimensional representation of text document, achieves the required results. But, the implementation of various text preprocessing methods speciﬁc to the Serbian language for the purpose of calculating text similarity can lead to great diﬀerences in the results.

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A software system for determining the semantic similarity of short texts in Serbian

Cited by 7 publications

References 0 publications

Using open licensed applications in the developing programs for businesses

Using open licensed applications in the developing programs for businesses

Creating a stop word dictionary in Serbian

The Influence of Text Preprocessing Methods and Tools on Calculating Text Similarity

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