Search Results for author: Cvetana Krstev

Found 12 papers, 0 papers with code

Serbian NER&Beyond: The Archaic and the Modern Intertwinned

no code implementations RANLP 2021 Branislava Šandrih Todorović, Cvetana Krstev, Ranka Stanković, Milica Ikonić Nešić

In this work, we present a Serbian literary corpus that is being developed under the umbrella of the “Distant Reading for European Literary History” COST Action CA16204.


A Language-independent Model for Introducing a New Semantic Relation Between Adjectives and Nouns in a WordNet

no code implementations GWC 2016 Miljana Mladenović, Jelena Mitrović, Cvetana Krstev

The aim of this paper is to show a language-independent process of creating a new semantic relation between adjectives and nouns in wordnets.

Sentiment Analysis

Multi-word Expressions for Abusive Speech Detection in Serbian

no code implementations COLING (MWE) 2020 Ranka Stanković, Jelena Mitrović, Danka Jokić, Cvetana Krstev

This paper presents our work on the refinement and improvement of the Serbian language part of Hurtlex, a multilingual lexicon of words to hurt.

Abusive Language

Machine Learning and Deep Neural Network-Based Lemmatization and Morphosyntactic Tagging for Serbian

no code implementations LREC 2020 Ranka Stankovic, {\v{S}}, Branislava rih, Cvetana Krstev, Milo{\v{s}} Utvi{\'c}, Mihailo Skoric

The training of new tagger models for Serbian is primarily motivated by the enhancement of the existing tagset with the grammatical category of a gender.

Lemmatization POS

Development and Evaluation of Three Named Entity Recognition Systems for Serbian - The Case of Personal Names

no code implementations RANLP 2019 {\v{S}}, Branislava rih, Cvetana Krstev, Ranka Stankovic

In this paper we present a rule- and lexicon-based system for the recognition of Named Entities (NE) in Serbian newspaper texts that was used to prepare a gold standard annotated with personal names.

Named Entity Recognition NER

Rule-based Automatic Multi-word Term Extraction and Lemmatization

no code implementations LREC 2016 Ranka Stankovi{\'c}, Cvetana Krstev, Ivan Obradovi{\'c}, Biljana Lazi{\'c}, Aleks Trtovac, ra

In this paper we present a rule-based method for multi-word term extraction that relies on extensive lexical resources in the form of electronic dictionaries and finite-state transducers for modelling various syntactic structures of multi-word terms.

Lemmatization Term Extraction

A tool for enhanced search of multilingual digital libraries of e-journals

no code implementations LREC 2012 Ranka Stankovi{\'c}, Cvetana Krstev, Ivan Obradovi{\'c}, Aleks Trtovac, ra, Milo{\v{s}} Utvi{\'c}

This paper outlines the main features of Bibli{\v{s}}a, a tool that offers various possibilities of enhancing queries submitted to large collections of TMX documents generated from aligned parallel articles residing in multilingual digital libraries of e-journals.

Information Retrieval Machine Translation

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