TY - CONF AU - Rokai, János AU - Rácz, Melinda AU - Fiáth, Richárd AU - Ulbert, István AU - Márton, Gergely TI - ELVISort: Encoding Latent Variables for Instant Sorting T2 - International Neuroscience Meeting, Budapest 2022 PY - 2022 UR - https://m2.mtmt.hu/api/publication/32755010 ID - 32755010 LA - English DB - MTMT ER - TY - CHAP AU - Ligeti-Nagy, Noémi AU - Ferenczi, Gergő AU - Héja, Enikő AU - Jelencsik-Mátyus, Kinga AU - Laki, László János AU - Vadász, Noémi AU - Yang, Zijian Győző AU - Váradi, Tamás ED - Berend, Gábor ED - Gosztolya, Gábor ED - Vincze, Veronika TI - HuLU: magyar nyelvű benchmark adatbázis kiépítése a neurális nyelvmodellek kiértékelése céljából T2 - XVIII. Magyar Számítógépes Nyelvészeti Konferencia : MSZNY 2022 PB - Szegedi Tudományegyetem, Informatikai Intézet CY - Szeged SN - 9789633068489 T3 - MSZNY ; 18.. PY - 2022 SP - 431 EP - 446 PG - 16 UR - https://m2.mtmt.hu/api/publication/32644299 ID - 32644299 LA - Hungarian DB - MTMT ER - TY - CONF AU - Yang, Zijian Győző AU - Novák, Attila AU - Laki, László János ED - Kovásznai, Gergely ED - Fazekas, István ED - Tómács, Tibor TI - Automatic Tag Recommendation for News Articles T2 - Proceedings of the 11th International Conference on Applied Informatics (ICAI 2020) PB - CEUR Workshop Proceedings C1 - Eger T3 - CEUR Workshop Proceedings, ISSN 1613-0073 ; 2650. PY - 2020 SP - 442 EP - 451 PG - 10 UR - https://m2.mtmt.hu/api/publication/31436461 ID - 31436461 N1 - Scopus:hiba:85090846104 2022-10-12 17:49 típus nem egyezik AB - In this paper, we present an automatic neural tag recommendation system for Hungarian news articles and the results of our experiments concerning the effect of preprocessing applied to the texts and various parameter settings. A novelty of the approach is a combination of subword tokenization with character-n-gram-based representations, which resulted in high gains in recall. The best system yields 76% precision at 58% recall. Subjective performance is higher, because suggested labels missing from the reference often fit the document well or are similar to missing reference labels. We also created an online GUI for the tag recommendation system that makes it possible for the user to interactively set threshold parameters facilitating customization of precision and recall. Copyright © 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). LA - English DB - MTMT ER - TY - JOUR AU - Tamás, Gönczy AU - Csercsik, Dávid AU - Kovács, Levente TI - Spatio-temporal Modelling of Tumor Progression and Angiogenesis JF - JEDLIK LABORATORIES REPORTS J2 - JEDLIK LABOR REP VL - 7 PY - 2019 IS - 1 SP - 25 EP - 28 PG - 4 SN - 2064-3942 UR - https://m2.mtmt.hu/api/publication/31123305 ID - 31123305 LA - English DB - MTMT ER - TY - CHAP AU - Kolumbán, Géza AU - Krébesz, Tamás István ED - IEEE, null TI - Universal Portable SDE Platform for Teaching the Theory and Practice of ICT Systems T2 - 2019 IEEE International Symposium on Circuits and Systems (ISCAS) PB - IEEE CY - Piscataway (NJ) SN - 9781728103976 T3 - IEEE International Symposium on Circuits and Systems Proceedings, ISSN 0271-4302 PY - 2019 SP - 1 EP - 5 PG - 5 DO - 10.1109/ISCAS.2019.8702408 UR - https://m2.mtmt.hu/api/publication/30684688 ID - 30684688 AB - A universal portable software defined electronics platform developed to teach info-communications systems is proposed here. Because every application is implemented in software, the universal platform is suitable for the implementation and simulation of any kind of communications or measurement systems where the information is carried by band-pass signals. The software defined electronics platform needs only a laptop and two universal software radio peripheral devices, and it can be used everywhere without a laboratory infrastructure. LA - English DB - MTMT ER - TY - BOOK AU - Kurcz, Lőrinc AU - Erdő, Franciska AU - Iván, Kristóf TI - Töltetes mikrochip többkomponensű mikrodializátum minta szeparálásához PB - GlobeEdit CY - Berlin PY - 2017 SN - 9783639650518 UR - https://m2.mtmt.hu/api/publication/31148752 ID - 31148752 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Tisza, Dávid AU - Oláh, András AU - Levendovszky, János TI - Multi-user detection using non-parametric Bayesian estimation by feed forward neural networks JF - TELECOMMUNICATION SYSTEMS J2 - TELECOMMUN SYST VL - 63 PY - 2016 IS - 1 SP - 65 EP - 75 PG - 11 SN - 1018-4864 DO - 10.1007/s11235-015-9973-0 UR - https://m2.mtmt.hu/api/publication/2860443 ID - 2860443 LA - English DB - MTMT ER - TY - JOUR AU - Novák, Borbála AU - Novák, Attila AU - Prószéky, Gábor TI - Context-aware correction of spelling errors in Hungarian medical documents JF - COMPUTER SPEECH AND LANGUAGE J2 - COMPUT SPEECH LANG VL - 35 PY - 2016 SP - 219 EP - 233 PG - 15 SN - 0885-2308 DO - 10.1016/j.csl.2014.09.001 UR - https://m2.mtmt.hu/api/publication/2844131 ID - 2844131 AB - Abstract Owing to the growing need of acquiring medical data from clinical records, processing such documents is an important topic in natural language processing (NLP). However, for general NLP methods to work, a proper, normalized input is required. Otherwise the system is overwhelmed by the unusually high amount of noise generally characteristic of this kind of text. The different types of this noise originate from non-standard language use: short fragments instead of proper sentences, usage of Latin words, many acronyms and very frequent misspellings. In this paper, a method is described for the automated correction of spelling errors in Hungarian clinical records. First, a word-based algorithm was implemented to generate a ranked list of correction candidates for word forms regarded as incorrect. Second, the problem of spelling correction was modelled as a translation task, where the source language is the erroneous text and the target language is the corrected one. A Statistical Machine Translation (SMT) decoder performed the task of error correction. Since no orthographically correct proofread text from this domain is available, we could not use such a corpus for training the system. Instead, the word-based system was used to create translation models. In addition, a 3-gram token-based language model was used to model lexical context. Due to the high number of abbreviations and acronyms in the texts, the behaviour of these abbreviated forms was further examined both in the case of the context-unaware word-based and the SMT-decoder-based implementations. The results show that the SMT-based method outperforms the first candidate accuracy of the word-based ranking system. However, the normalization of abbreviations should be handled as a separate task. LA - English DB - MTMT ER - TY - CHAP AU - László, Endre AU - Nagy, Zoltán AU - Giles, MB AU - Reguly, István Zoltán AU - Appleyard, J AU - Szolgay, Péter ED - IEEE, . TI - Analysis of parallel processor architectures for the solution of the Black-Scholes PDE T2 - IEEE International Symposium on Circuits and Systems, ISCAS 2015 PB - IEEE CY - New York, New York SN - 9781479983919 T3 - Proceedings - IEEE International Symposium on Circuits and Systems, ISSN 0271-4310 ; 2015-July. PY - 2015 SP - 1977 EP - 1980 PG - 4 DO - 10.1109/ISCAS.2015.7169062 UR - https://m2.mtmt.hu/api/publication/2978490 ID - 2978490 LA - English DB - MTMT ER - TY - CHAP AU - Novák, Borbála AU - Novák, Attila ED - Tanács, Attila ED - Varga, Viktor ED - Vincze, Veronika TI - Nem felügyelt módszerek alkalmazása releváns kifejezések azonosítására és csoportosítására klinikai dokumentumokban T2 - XI. Magyar Számítógépes Nyelvészeti Konferencia : MSZNY 2015 PB - Szegedi Tudományegyetem Informatikai Tanszékcsoport CY - Szeged SN - 9789633063590 PY - 2015 SP - 237 EP - 248 PG - 12 UR - https://m2.mtmt.hu/api/publication/2975394 ID - 2975394 LA - Hungarian DB - MTMT ER -