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Упит dcterms_subject_txt:named entity linking

98 items

  • Towards Semantic Interoperability: Parallel Corpora as Linked Data Incorporating Named Entity Linking

    Ranka Stanković, Milica Ikonić Nešić, Olja Perisic, Mihailo Škorić, Olivera Kitanović (2024)
    U radu se prikazuju rezultati istraživanja vezanih za pripremu paralelnih korpusa, fokusirajući se na transformaciju u RDF grafove koristeći NLP Interchange Format (NIF) za lingvističku anotaciju. Pružamo pregled paralelnog korpusa koji je korišćen u ovom studijskom slučaju, kao i proces označavanja delova govora, lematizacije i prepoznavanja imenovanih entiteta (NER). Zatim opisujemo povezivanje imenovanih entiteta (NEL), konverziju podataka u RDF, i uključivanje NIF anotacija. Proizvedene NIF datoteke su evaluirane kroz istraživanje triplestore-a korišćenjem SPARQL upita. Na kraju, razmatra se povezivanje Linked ...
    paralelni korpusi, povezivanje imenovanih entiteta, prepoznavanje imenovanih entiteta, NER, NEL, povezani podaci, NIF, Vikipodaci

  • From ELTeC Text Collection Metadata and Named Entities to Linked-data (and Back)

    Milica Ikonić Nešić, Ranka Stanković, Christof Schöch and Mihailo Škorić (2022)
    In this paper we present the wikification of the ELTeC (European Literary Text Collection), developed within the COST Action ``Distant Reading for European Literary History'' (CA16204). ELTeC is a multilingual corpus of novels written in the time period 1840—1920, built to apply distant reading methods and tools to explore the European literary history. We present the pipeline that led to the production of the linked dataset, the novels’ metadata retrieval and named entity recognition, transformation, mapping and Wikidata population, ...
    Wikidata, linked data, SPARQL, distant reading, literary corpus, named entity linking, ELTeC

  • Serbian ELTeC Sub-Collection in Wikidata

    Milica Ikonić Nešić, Ranka Stanković, Biljana Rujević (2021)
    This paper presents an example of integration of Wikidata with digital libraries and external systems, as well as some best practices for speeding up the process of data preparation and import to Wikidata, on the use case of SrpELTeC, Serbian subcollection of the ELTeC multilingual collection (European Literary Text Collection). After preliminary work on the manual Wikidata population with SrpELTeC novels, the goal was to automate the process of preparing and importing information, so different solutions were analysed and ...
    Википодаци, удаљенои читање, књижевни корпус, повезивање именованих ентитета, ELTeC, SrpELTeC

  • Towards the semantic annotation of SR-ELEXIS corpus: Insights into Multiword Expressions and Named Entities

    Cvetana Krstev, Ranka Stanković, Aleksandra Marković, Teodora Mihajlov (2024)
    Овај рад представља активности на развоју корпуса ELEXIS-sr, српском додатку вишејезичном анотираном корпусу ELEXIS-а, који се састоји од семантичких анотација и репозиторија значења речи. ELEXIS је паралелни вишејезични анотирани корпус на десет европских језика, који може да се користи као вишејезички репер за евалуацију европских језика са мање и средње развијеним ресурсима. Фокус овог рада је на вишечланим изразима и именованим ентитетима, њиховом препознавању у скупу реченица ELEXIS-sr и поређењу са анотацијама на другим језицима. Разматрају се први кораци ...
    полилексемске језинице, именовани ентитет, вишезначност значења речи, складиште смисла, LLOD

  • SrpELTeC: A Serbian Literary Corpus for Distant Reading

    Ranka Stanković, Cvetana Krstev, Duško Vitas (2024)
    U članku je predstavljen SrpELTeC, korpus razvijen u okviru akcije COST Distant Reading for European Literary History (CA16204). Svi romani u SrpELTeC-u su odabrani, pripremljeni i obeleženi korišćenjem zajedničkih principa uspostavljenih za sve jezičke zbirke u Evropskoj zbirci književnog teksta (ELTeC). Navedeni su izazovi i rešenja u pripremi SrpELTeC od nule. Svi romani su ručno kodirani u TEI sa bogatim metapodacima i strukturnim napomenama. Automatska anotacija je uključivala POS-označavanje, lematizaciju i imenovane entitete, oslanjajući se na resurse za obradu ...
    digital humanities, Serbian literature, text corpora, distant reading , linked data, named entity recognition, text analytics

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

    Branislava Šandrih, Cvetana Krstev, Ranka Stanković (2019)
    In this paper we present a rule- and lexicon-based system for the recognition of Named Entities (NE) in Serbian news paper texts that was used to prepare a gold standard annotated with personal names. It was further used to prepare training sets for four different levels of annota tion, which were further used to train two Named Entity Recognition (NER) sys tems: Stanford and spaCy. All obtained models, together with a rule- and lexicon based system were evaluated on ...
    NER, Named Entity Recognition Systems, Serbian, Personal Names
    ... step is Entity Linking (EL), i.e. disam- biguation of recognized named entities to a knowl- edge base, such as Wikidata, DBpedia WordNet and BabelNet. Such example would be automati- cally assigning Wikidata URL that points to a bi- ography of a famous person to the corresponding named entity detected ...
    ... functions. 1 Introduction Named Entity Recognition is the task of identi- fying named entities in text (Nadeau and Sekine, 2007), which is often used as a first step in ques- tion answering, information retrieval, anaphora resolution, topic modeling, etc. The first Named Entity set had 7 types (Grishman ...
    ... Evaluation of Three Named Entity Recognition Systems for Serbian - The Case of Personal Names Branislava Šandrih, Cvetana Krstev, Ranka Stanković Дигитални репозиторијум Рударско-геолошког факултета Универзитета у Београду [ДР РГФ] Development and Evaluation of Three Named Entity Recognition Systems ...

  • It-Sr-NER: Web Services for Recognizing and Linking Named Entities in Text and Displaying Them on a Web Map

    Olja Perišić, Ranka Stanković, Milica Ikonić Nešić, Mihailo Škorić (2023)
    The paper will present the results of the project `“It-Sr-NER: Web services for named entities recognition, linking and mapping,” in which teams from the University of Turin and the Society for Language Resources and Technologies JeRTeh participated, and whose goal was the development of the It-Sr-NER web service for named entity annotations in the text and displaying them on the map. Named entities in these services are names of persons, places, organizations, demonyms (ethnicities), events and works of art.
    General Engineering

  • Distant Reading in Digital Humanities: Case Study on the Serbian Part of the ELTeC Collection

    Ranka Stanković, Cvetana Krstev, Branislava Šandrih Todorović, Duško Vitas, Mihailo Škorić, Milica Ikonić Nešić (2022)
    In this paper we present the Serbian part of the ELTeC multilingual corpus of novels written in the time period 1840-1920. The corpus is being built in order to test various distant reading methods and tools with the aim of re-thinking the European literary history. We present the various steps that led to the production of the Serbian sub-collection: the novel selection and retrieval, text preparation, structural annotation, POS-tagging, lemmatization and named entity recognition. The Serbian sub-collection was published ...
    Corpus, Distant Reading, Digital Humanities, Linked Data, Named Entity Recognition, Text Analytics

  • Bridging Computational Lexicography and Corpus Linguistics: A Query Extension for OntoLex-FrAC

    Christian Chiarcos, Ranka Stanković, Maxim Ionov, Gilles Sérasset (2024)
    OntoLex, dominantni standard zajednice za mašinski čitljive leksičke resurse u kontekstu RDF-a, Linked Data i tehnologija Semantičkog veba, trenutno se proširuje sa posebnim modulom za Frekvencije, Primere i Informacije zasnovane na Korpusu (OntoLex-FrAC). Predlažemo novi komponent za OntoLex-FrAC, koji se bavi inkorporacijom korpusnih upita za (a) povezivanje rečnika sa korpusnim mašinama, (b) omogućavanje RDF baziranih web servisa da dinamički razmenjuju korpusne upite i podatke odgovora, i (c) korišćenje konvencionalnih upitačkih jezika za formalizaciju unutrašnje strukture kolokacija, skica reči i ...
    standardizacija, digitalna leksikografija, OntoLex, upiti korpusa, povezani podaci, Lingvistički povezani otvoreni podaci

  • Serbian NER&Beyond: The Archaic and the Modern Intertwinned

    Branislava Šandrih Todorović, Cvetana Krstev, Ranka Stanković, Milica Ikonić Nešić (2021)
    U ovom radu predstavljamo srpski književni korpus koji se razvija pod okriljem COST Akcije „Distant Reading for European Literary History” CA16204. Koristeći ovaj korpus romana napisanih pre više od jednog veka, razvili smo i učinili javno dostupnim Sistem za prepoznavanje imenovanih entiteta (NER) obučen da prepozna 7 različitih tipova imenovanih entiteta, sa konvolucionom neuronskom mrežom (CNN), koja ima F1 rezultat od ≈91% na test skupu podataka. Ovaj model je dalje ocenjen na posebnom skupu podataka za evaluaciju. Završavamo poređenje ...
    ... situations: [TP] an entity is recognized exactly as it sho- uld, comparing to the gold standard (the text and the named entity types match – true positives); [FP] there are three cases here: 1) an entity is recognized, but not with the correct type (e.g. PERS mistaken for a ROLE); 2) an entity is recognized ...
    ... appropriate to the particular novel). The EVENT named entity is somewhat spe- cial: SrpNER does not recognize this entity, so the evaluators were asked to identify and anno- tate them when they occur in text. SrpNER does not recognize WORK entity either, but these annotations were in many cases added ...
    ... Marieke van Erp. 2019. Evaluating Named Entity Recognition To- ols for Extracting Social Networks from Novels. PeerJ Computer Science, 5:e189. Francesca Frontini, Carmen Brando, Joanna Bys- zuk, Ioana Galleron, Diana Santos, and Ranka Stanković. 2020. Named Entity Recognition for Distant Reading in ...

  • WebGIS Cadastre of Abandoned Mines in Autonomous Province of Vojvodina

    Ranka Stanković, Nikola Vulović, Nikola Lilić, Ivan Obradović, Radule Tošović, Milica Pešić-Georgiadis (2015)
    ... data are entered on the limits of the mining waste field, on the carrier of exploration and/or exploitation or economic entity that produces mining waste, on the economic entity which is the operator of mining waste, on the characterization and categorization of mining waste landfills within the mining ...
    ... properties, evaluation, as well as the register of abandoned mines by municipalities, with the most important supporting information, the possibility of linking with the previous report, the report on abandoned mines, with evaluations and evaluation criteria. Report on ranked abandoned mines with evaluations ...

  • A System for Named Entity Recognition Based on Local Grammars

    Krstev Cvetana, Obradović Ivan, Utvić Miloš, Vitas Duško (2014)

  • Indexing of textual databases based on lexical resources: A case study for Serbian

    Ranka Stanković, Cvetana Krstev, Ivan Obradović, Olivera Kitanović (2015)
    In this paper we describe an approach to improvement of information retrieval results for large textual databases by pre-indexing documents using bag-of-words and Named Entity Recognition. The approach was applied on a database of geological projects financed by the Republic of Serbia in the last half century. Each document within this database is described by metadata, consisting of several fields such as title, domain, keywords, abstract, geographical location and the like. A bag of words was produced from these ...
    ... librarianship, etc. Geology is insufficiently covered — SWN presently contains only 157 synsets from this domain.4 Named Entity Recognition. According to [13] the term “Named Entity” (NE) usually refers to names of persons, locations and organizations, and numeric expressions including, time, date ...
    ... NE hierarchy in our Named Entity Recognition (NER) system consists of five top-level types: persons, organizations, locations, amounts, and temporal expressions, each of them having one or more levels of sub-types. Our tagging strategy allows nesting, which means that a named entity can be nested within ...
    ... Global Wordnet Conference, GWC 2014. pp. 55–62. Tartu, Estonia (2014) 13. Nadeau, D., Sekine, S.: A Survey of Named Entity Recognition and Classification. In: Sekine, S., Ranchhod, E. (eds.) Named Entities: Recognition, Classification and Use, pp. 3–28. John Benjamins Pub. Co., Amsterdam/Philadelphia (2009) ...

  • Multiword Expressions between the Corpus and the Lexicon: Universality, Idiosyncrasy and the Lexicon-Corpus Interface

    Verginica Barbu Mititelu, Voula Giouli, Kilian Evang, Daniel Zeman, Petya Osenova, Carole Tiberius, Simon Krek, Stella Markantonatou, Ivelina Stoyanova, Ranka Stankovic, Christian Chiarcos (2024)
    Predstavljamo trenutne aktivnosti na definisanju interfejsa leksikona i korpusa koji će služiti kao referenca u prikazu polileksemskih jedinica - višečlanih izraza - (različitih tipova - imenskih, glagolskih, itd.) u specijalizovanim leksikonima i povezivanju ovih unosa sa njihovim pojavljivanjima u korpusima. Konačni cilj je korišćenje ovakvih resursa za automatsko identifikovanje višečlanih izraza u tekstu. Uključivanje nekoliko prirodnih jezika ima za cilj univerzalnost rešenja koje nije usredsređeno na određeni jezik, kao i prilagođavanje idiosinkrazijama. Raspravljaju se izazovi u leksikografskom opisu višerečnih ...
    multiword expression lexicon, corpus, proof-of-concept lexicon encoding

  • Development Of The Serbian Geological Resources Portal

    Ranka Stanković, Jelena Prodanović, Olivera Kitanović, Velizar Nikolić (2011)
    ... factors of the search field. Namely, a number of entities and their attributes within the database corre- spond to each search criterion, and each entity/attrib- ute has certain weight factors which determine the rel- evance of the appearance of a resource within the set of results. Entering different ...
    ... 63 7 Several projects financed by MEMSP. Geologic Institute od Serbia: Geo-referencing of scanned pages, cropping and linking into the national coordinate system of the Basic geological map 1:100.000, 2009, BLAGOJEVIĆ D. Geozavod Nemetali: Map of geological curiosities in ...

  • Rule-based Automatic Multi-word Term Extraction and Lemmatization

    Ranka Stanković, Cvetana Krstev, Ivan Obradović, Biljana Lazić, Aleksandra Trtovac (2016)
    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. The same technology is used for lemmatization of extracted multi-word terms, which is unavoidable for highly inflected languages in order to pass extracted data to evaluators and subsequently to terminological e-dictionaries and databases. The approach is illustrated on a corpus of Serbian texts from ...
    term extraction, terminology, multi-word units, lemmatization, finite-state transducers
    ... because linguistic resources and tools they used were underdeveloped. In (Małyszko et al., 2015) authors lemmatize multiword entity names (organization names and similar named entities found in a corpus of legislative acts) by using rules generated on the basis of corpora analysis. For tackling ...
    ... Granada: University of Granada, pp. 81--89. Malyszko, J., Abramowicz, W., Filipowska, A., & Wagner, T. (2015). Lemmatization of Multi-Word Entity Named for Polish Language Using Rules Automatically Generated Based on the Corpus Analysis. In Proc. of 7th Language & Technology Conference 2015, ...
    ... MWT candidates are extracted from texts in various inflected forms. Nevertheless, lemmatization of extracted MWT candidates, that is, their linking to one normalized or head-word form, has attracted less interest, no doubt because it is of little importance for English. For instance, the ...

  • Data from the Digital Repository of the Faculty of Mining and Geology in eScience (eNauka)

    Biljana Rujević, Mihailo Škorić (2024)
    The paper describes linking the Digital Repository of the University of Belgrade, Faculty of Mining and Geology, with the eScience system in terms of transferring metadata about the results of researchers' scientific work. The steps taken to ensure a smooth harvesting of metadata are outlined. Additionally, a presentation of additional improvements to the OAI system is provided, aiming to contribute to the automatic linking of authors with their results in the eScience system.
    репозиторијуми, еНаука, метаподаци, Рударско-геолошки факултет

  • A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment

    Sina Ahmadi, John P McCrae, Sanni Nimb, Fahad Khan, Monica Monachini, Bolette S Pedersen, Thierry Declerck, Tanja Wissik, Andrea Bellandi, Irene Pisani, [...] Ranka Stanković and others (2020)
    Aligning senses across resources and languages is a challenging task with beneficial applications in the field of natural language processing and electronic lexicography. In this paper, we describe our efforts in manually aligning monolingual dictionaries. The alignment is carried out at sense-level for various resources in 15 languages. Moreover, senses are annotated with possible semantic relationships such as broadness, narrowness, relatedness, and equivalence. In comparison to previous datasets for this task, this dataset covers a wide range of languages ...
    lexical semantic resources, sense alignment, lexicography, language resource
    ... comparison to previous datasets for this task, this dataset covers a wide range of languages and resources and focuses on the more challenging task of linking general-purpose language. We believe that our data will pave the way for further advances in alignment and evaluation of word senses by creating new ...
    ... content, which makes aligning information across resources and languages a challenging task. Word sense alignment (WSA) is a more specific task of linking dictionary content at sense level which has been proved to be beneficial in various NLP tasks, such as word- sense disambiguation (Navigli and Ponzetto ...
    ... senses of an entry. In this respect, we followed a simple approach such as that in SKOS (Miles and Bechhofer, 2009) providing different kinds of linking predicates, which are described in Table 1. While it is cer- tainly not easy to decide which relationship is to be used (we discuss this below) ...

  • Improving Document Retrieval in Large Domain Specific Textual Databases Using Lexical Resources

    Ranka Stanković, Cvetana Krstev, Ivan Obradović, Olivera Kitanović (2017)
    Large collections of textual documents represent an example of big data that requires the solution of three basic problems: the representation of documents, the representation of information needs and the matching of the two representations. This paper outlines the introduction of document indexing as a possible solution to document representation. Documents within a large textual database developed for geological projects in the Republic of Serbia for many years were indexed using methods developed within digital humanities: bag-of-words and named ...
    ... MWU lem- mas. Approximately 28.5% of these lemmas represent proper names: personal, geopolitical, organizational, etc. Named Entity Recognition. According to [19] the term “Named Entity” (NE) usually refers to names of persons, locations and organizations, and numeric expressions including, time, date ...
    ... hierarchy in our Named Entity Recognition (NER) system consists of five top-level types: persons, organizations, locations, amounts, and tempo- ral expressions, each of them having one or more levels of sub-types. Our tag- ging strategy allows nesting, which means that a named entity can be nested within ...
    ... terms. As for named entities, they will be adequately intro- duced into faceted search, along with the implementation of their normalization. The name entity recognition system will be improved to perform better in the geological domain, as it was initially developed for recognizing named entities in journal ...

  • Creation of a Training Dataset for Question-Answering Models in Serbian

    Ranka Stanković, Jovana Rađenović, Maja Ristić, Dragan Stankov (2024)
    Razvoj i primena veštačke inteligencije u jezičkim tehnologijama značajno su napredovali poslednjih godina, posebno u domenu zadatka odgovaranja na pitanja (Question Answering - QA). Dok su postojeći resursi za QA zadatke razvijeni za glavne svetske jezike, srpski jezik je relativno zanemaren u ovoj oblasti. Ovaj rad predstavlja inicijativu za kreiranje obimnog i raznovrsnog skupa podataka za obučavanje modela za odgovaranje na pitanja na srpskom jeziku, koji će doprineti unapređenju jezičkih tehnologija za srpski jezik. Pored brojnih istraživanja o jezičkim modelima ...
    veštačka inteligencija, obrada prirodnog jezika, jezički resursi, anotirani skupovi, ekstrakcija informacija, odgovaranje na pitanja