Dávid Márk Nemeskey
Dávid Márk Nemeskey is a PhD student in computer science at the PhD School of Computer Science, Eötvös Loránd University. He is currently doing research on Language Modeling. He joined the group in 2009, and has worked on various projects including 4lang, INFRA2 and other semantics-related projects.
Full list of publications
Recent publications
2021
J. Ács,
D. Lévai,
D. Nemeskey,
A. Kornai:
Evaluating Contextualized Language Models for Hungarian.
In XVII. Magyar SzámítógépesNyelvészeti Konferencia.
D. Nemeskey:
Introducing huBERT.
In XVII. Magyar Számítógépes Nyelvészeti Konferencia.
2020
D. Nemeskey:
Egy emBERT próbáló feladat.
In XVI. Magyar Számítógépes Nyelvészeti Konferencia.
D. Nemeskey:
Natural Language Processing Methods for Language Modeling.
2019
2018
D. Nemeskey,
A. Kornai:
Emergency Vocabulary.
In Information Systems Frontiers (20/5).
J. Ács,
G. Borbély,
M. Makrai,
D. Nemeskey,
G. Recski,
A. Kornai:
Hibrid nyelvtechnológiák.
In Magyar Tudomány 2018/6.
2017
J. Ács,
D. Nemeskey,
G. Recski:
Building word embeddings from dictionary definitions.
In Papers dedicated to László Kálmán and András Kornai on the occasion of their 60th birthdays.
J. Ács,
D. Nemeskey,
A. Kornai:
Identification of Disaster-implicated Named Entities.
In Proceedings of the First International Workshop on Exploitation of Social Media for Emergency Relief and Preparedness.
D. Nemeskey:
emLam – a Hungarian Language Modeling baseline.
In XIII. Magyar Számítógépes Nyelvészeti Konferencia (MSZNY 2017).
2016
G. Borbély,
A. Kornai,
M. Kracht,
D. Nemeskey:
Denoising composition in distributional semantics.
In 28th European Summer School in Logic, Language and Information.
A. Kornai,
D. Nemeskey,
G. Recski:
Detecting Optional Arguments of Verbs.
In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016).
G. Borbély,
A. Kornai,
M. Makrai,
D. Nemeskey:
Evaluating multi-sense embeddings for semantic resolution monolingually and in word translation.
In repeval.
2015
2014
2013
M. Makrai,
D. Nemeskey,
A. Kornai:
Applicative structure in vector space models.
In Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality.
D. Nemeskey,
G. Recski,
M. Makrai,
A. Zséder,
A. Kornai:
Spreading activation in language understanding.
In Proc. CSIT 2013.
2012
D. Nemeskey,
E. Simon:
Automatically generated NE tagged corpora for English and Hungarian.
In Proceedings of the 4th Named Entity Workshop (NEWS) 2012.
D. Nemeskey,
E. Simon:
Automatikus korpuszépítés tulajdonnév-felismerés céljára.
In IX. Magyar Számítógépes Nyelvészeti Konferencia.
D. Nemeskey,
G. Recski,
A. Zséder:
Miből lesz a robot MÁV-pénztáros?.
In IX. Magyar Számitógépes Nyelvészeti Konferencia [Ninth Conference on Hungarian Computational Linguistics].