Претрага
5 items
-
Named Entity Recognition for Distant Reading in ELTeC
Francesca Frontini, Carmen Brando, Joanna Byszuk, Ioana Galleron, Diana Santos, Ranka Stanković (2020)Akcija COST „Udaljeno čitanje za evropsku književnu istoriju“, koja je počela 2017. godine, ima među svojim glavnim ciljevima stvaranje višejezične zbirke evropskih književnih tekstova (ELTeC) otvorenog koda. U ovom radu predstavljamo rad koji je obavljen na ručnom označavanju selekcije ELTeC kolekcije za imenovane entitete, kao i na proceni postojećih alata za prepoznavanje imenovanih entiteta u pogledu njihove sposobnosti da automatski urade takve anotacije. U poslednjem paragrafu se razmatraju zajedničke tačke između ove inicijative i CLARIN-a.... Distant Reading in ELTeC Francesca Frontini, Carmen Brando, Joanna Byszuk, Ioana Galleron, Diana Santos, Ranka Stanković Дигитални репозиторијум Рударско-геолошког факултета Универзитета у Београду [ДР РГФ] Named Entity Recognition for Distant Reading in ELTeC | Francesca Frontini, Carmen Brando, Joanna ...
... Repository is available at: www.dr.rgf.bg.ac.rs Annotation and Visualization Tools 37 Named Entity Recognition for Distant Reading in ELTeC Francesca Frontini P ra x il in g C N R S U n iv e rs i te P a u l-V a le ry M o n tp e llie r 3 Carmen Brando C R H , E H E S S , P a r is Joanna ...Francesca Frontini, Carmen Brando, Joanna Byszuk, Ioana Galleron, Diana Santos, Ranka Stanković. "Named Entity Recognition for Distant Reading in ELTeC" in CLARIN Annual Conference 2020, Oct 2020, Virtual Event, France, CLARIN (2020)
-
Serbian NER&Beyond: The Archaic and the Modern Intertwinned
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 ...... 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 ELTeC ...
... CA16204) has started in 2017 with the purpose of using computa- tional methods to analyse large collections of literary texts (Stanković et al., 2019; Frontini et al., 2020). The main goal of this ongoing action is to compile a multilingual open-source collection, named European Literary Text Col- lection ...
... novels as well as those not known to wider audience or completely forgotten, as judged by the number of reprints, and d) female and male authors (Frontini et al., 2020). The last version of the ELTeC (v. 1.1.0) was released in April 2021.6 It contained 14 5spaCy, https://spacy.io/ 6ELTeC (Distant Reading ...Branislava Šandrih Todorović, Cvetana Krstev, Ranka Stanković, Milica Ikonić Nešić. "Serbian NER&Beyond: The Archaic and the Modern Intertwinned" in Proceedings of the Conference Recent Advances in Natural Language Processing - Deep Learning for Natural Language Processing Methods and Applications, INCOMA Ltd. Shoumen, BULGARIA (2021). https://doi.org/10.26615/978-954-452-072-4_141
-
The external aggregation Newton's method for solving nonlinear equations and applications
Marija Paunović, Dejan Ćebić, Nebojša Ralević. "The external aggregation Newton's method for solving nonlinear equations and applications" in The University Thought - Publication in Natural Sciences, Centre for Evaluation in Education and Science (CEON/CEES) (2020). https://doi.org/10.5937/univtho10-24982
-
Terminology Acquisition and Description Using Lexical Resources and Local Grammars
Acquisition of new terminology from specific domains and its adequate description within terminological dictionaries is a complex task, especially for languages that are morphologically complex such as Serbian. In this paper we present an approach to solving this task semi-automatically on basis of lexical resources and local grammars developed for Serbian. Special attention is given to automatic inflectional class prediction for simple adjectives and nouns and the use of syntactic graphs for extraction of Multi-Word Unit (MWU) candidates for ...... Wójtowicz, B. (2007). On the evaluation of Polish definition ex- traction grammars. Proc. of the 3rd Language & Technology Conference. Quochi, V., Frontini, F., & Rubino, F. (2012). A MWE Acquisition and Lexicon Builder Web Ser- vice. Proc. of COLING 2012 (pp. 2291-2306). Ramisch, C., De Araujo, V ...Cvetana Krstev, Ranka Stanković, Ivan Obradović, Biljana Lazić. "Terminology Acquisition and Description Using Lexical Resources and Local Grammars" in Proceedings of the 11th Conference on Terminology and Artificial Intelligence, Granada, Spain, 2015, Granada : LexiCon (Universidad de Granada) (2015)
-
The Geology of the Zlatibor-Maljen Area (Western Serbia): a Geotraverse Across the Ophiolites of the Dinaric-Hellenic Collisional Belt
Chiari Marco, Đerić Nevenka, Garfagnoli Francesca, Hrvatović Hazim, Krstić Marko, Levi Nicola, Malasoma Alessandro,Marroni Michele, Menna Francesco, Nirta Giuseppe, Pandolfi Luca, Principi Gianfranco, Saccani Emilio, Stojadinović Uroš, Trivić Branislav (2011)Chiari Marco, Đerić Nevenka, Garfagnoli Francesca, Hrvatović Hazim, Krstić Marko, Levi Nicola, Malasoma Alessandro,Marroni Michele, Menna Francesco, Nirta Giuseppe, Pandolfi Luca, Principi Gianfranco, Saccani Emilio, Stojadinović Uroš, Trivić Branislav. "The Geology of the Zlatibor-Maljen Area (Western Serbia): a Geotraverse Across the Ophiolites of the Dinaric-Hellenic Collisional Belt" in Ofioliti 2 no. 36, 56126 Pisa, Italy:Publisher Edizioni ETS (2011): 137-164. https://doi.org/10.4454/OFIOLITI.V36.I2.3