Central and South-East European Resources in META-SHARE

no code implementations • COLING 2012 • Marko Tadi{\'c}, Tam{\'a}s V{\'a}radi

Open source multi-platform NooJ for NLP

no code implementations • COLING 2012 • Max Silberztein, Tam{\'a}s V{\'a}radi, Marko Tadi{\'c}

The Strategic Impact of META-NET on the Regional, National and International Level

no code implementations • LREC 2014 • Georg Rehm, Hans Uszkoreit, Sophia Ananiadou, N{\'u}ria Bel, Audron{\.e} Bielevi{\v{c}}ien{\.e}, Lars Borin, Ant{\'o}nio Branco, Gerhard Budin, Nicoletta Calzolari, Walter Daelemans, Radovan Garab{\'\i}k, Marko Grobelnik, Carmen Garc{\'\i}a-Mateo, Josef van Genabith, Jan Haji{\v{c}}, Inma Hern{\'a}ez, John Judge, Svetla Koeva, Simon Krek, Cvetana Krstev, Krister Lind{\'e}n, Bernardo Magnini, Joseph Mariani, John McNaught, Maite Melero, Monica Monachini, Asunci{\'o}n Moreno, Jan Odijk, Maciej Ogrodniczuk, Piotr P{\k{e}}zik, Stelios Piperidis, Adam Przepi{\'o}rkowski, Eir{\'\i}kur R{\"o}gnvaldsson, Michael Rosner, Bolette Pedersen, Inguna Skadi{\c{n}}a, Koenraad De Smedt, Marko Tadi{\'c}, Paul Thompson, Dan Tufi{\c{s}}, Tam{\'a}s V{\'a}radi, Andrejs Vasi{\c{l}}jevs, Kadri Vider, Jolanta Zabarskaite

This article provides an overview of the dissemination work carried out in META-NET from 2010 until early 2014; we describe its impact on the regional, national and international level, mainly with regard to politics and the situation of funding for LT topics.

Machine Translation

Media monitoring and information extraction for the highly inflected agglutinative language Hungarian

no code implementations • LREC 2014 • J{\'u}lia Pajzs, Ralf Steinberger, Maud Ehrmann, Mohamed Ebrahim, Leonida della Rocca, Stefano Bucci, Eszter Simon, Tam{\'a}s V{\'a}radi

In this paper, we describe the effort of adding to EMM Hungarian text mining tools for news gathering; document categorisation; named entity recognition and classification for persons, organisations and locations; name lemmatisation; quotation recognition; and cross-lingual linking of related news clusters.

Information Retrieval named-entity-recognition +2

The Hungarian Gigaword Corpus

no code implementations • LREC 2014 • Csaba Oravecz, Tam{\'a}s V{\'a}radi, B{\'a}lint Sass

The paper reports on the development of the Hungarian Gigaword Corpus (HGC), an extended new edition of the Hungarian National Corpus, with upgraded and redesigned linguistic annotation and an increased size of 1. 5 billion tokens.

Morphological Analysis

Languagesindanger.eu - Including Multimedia Language Resources to disseminate Knowledge and Create Educational Material on less-Resourced Languages

no code implementations • LREC 2014 • Dagmar Jung, Katarzyna Klessa, Zsuzsa Duray, Beatrix Oszk{\'o}, M{\'a}ria Sipos, S{\'a}ndor Szever{\'e}nyi, Zsuzsa V{\'a}rnai, Paul Trilsbeek, Tam{\'a}s V{\'a}radi

The present paper describes the development of the languagesindanger. eu interactive website as an example of including multimedia language resources to{\^A} disseminate knowledge and create educational material on{\^A} less-resourced languages.

Beyond Sentiment: Social Psychological Analysis of Political Facebook Comments in Hungary

no code implementations • WS 2015 • M{\'a}rton Mih{\'a}ltz, Tam{\'a}s V{\'a}radi, Istv{\'a}n Csert{\H{o}}, {\'E}va F{\"u}l{\"o}p, Tibor P{\'o}lya, P{\'a}l K{\H{o}}v{\'a}g{\'o}

Language technology tools and resources for the analysis of multimodal communication

no code implementations • WS 2016 • L{\'a}szl{\'o} Hunyadi, Tam{\'a}s V{\'a}radi, Istv{\'a}n Szekr{\'e}nyes

In this paper we describe how the complexity of human communication can be analysed with the help of language technology.

E-magyar -- A Digital Language Processing System

no code implementations • LREC 2018 • Tam{\'a}s V{\'a}radi, Eszter Simon, B{\'a}lint Sass, Iv{\'a}n Mittelholcz, Attila Nov{\'a}k, Bal{\'a}zs Indig, Rich{\'a}rd Farkas, Veronika Vincze

Named Entity Recognition (NER)

Evaluation of Dictionary Creating Methods for Finno-Ugric Minority Languages

no code implementations • LREC 2018 • Zsanett Ferenczi, Iv{\'a}n Mittelholcz, Eszter Simon, Tam{\'a}s V{\'a}radi

Word Embeddings

A Multilingual Evaluation Dataset for Monolingual Word Sense Alignment

1 code implementation • LREC 2020 • Sina Ahmadi, John Philip McCrae, Sanni Nimb, Fahad Khan, Monica Monachini, Bolette Pedersen, Thierry Declerck, Tanja Wissik, Bell, Andrea i, Irene Pisani, Thomas Troelsg{\aa}rd, Sussi Olsen, Simon Krek, Veronika Lipp, Tam{\'a}s V{\'a}radi, L{\'a}szl{\'o} Simon, Andr{\'a}s Gyorffy, Carole Tiberius, Tanneke Schoonheim, Yifat Ben Moshe, Maya Rudich, Raya Abu Ahmad, Dorielle Lonke, Kira Kovalenko, Margit Langemets, Jelena Kallas, Oksana Dereza, Theodorus Fransen, David Cillessen, David Lindemann, Mikel Alonso, Ana Salgado, Jos{\'e} Luis Sancho, Rafael-J. Ure{\~n}a-Ruiz, Jordi Porta Zamorano, Kiril Simov, Petya Osenova, Zara Kancheva, Ivaylo Radev, Ranka Stankovi{\'c}, Andrej Perdih, Dejan Gabrovsek

Aligning senses across resources and languages is a challenging task with beneficial applications in the field of natural language processing and electronic lexicography.

The MARCELL Legislative Corpus

no code implementations • LREC 2020 • Tam{\'a}s V{\'a}radi, Svetla Koeva, Martin Yamalov, Marko Tadi{\'c}, B{\'a}lint Sass, Bart{\l}omiej Nito{\'n}, Maciej Ogrodniczuk, Piotr P{\k{e}}zik, Verginica Barbu Mititelu, Radu Ion, Elena Irimia, Maria Mitrofan, Vasile P{\u{a}}i{\textcommabelow{s}}, Dan Tufi{\textcommabelow{s}}, Radovan Garab{\'\i}k, Simon Krek, Andraz Repar, Matja{\v{z}} Rihtar, Janez Brank

This article presents the current outcomes of the MARCELL CEF Telecom project aiming to collect and deeply annotate a large comparable corpus of legal documents.

Sentence