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

The xtsv Framework and the Twelve Virtues of Pipelines

no code implementations • LREC 2020 • Bal{\'a}zs Indig, B{\'a}lint Sass, Iv{\'a}n Mittelholcz

When a module is put into xtsv, all functionalities of the system are immediately available for that module, and the module can be be a part of an xtsv pipeline.

The ``Jump and Stay'' Method to Discover Proper Verb Centered Constructions in Corpus Lattices

no code implementations • RANLP 2019 • B{\'a}lint Sass

We implemented this as an effective data structure, and developed an algorithm based on this structure to discover essential verbal expressions from corpus data.

One format to rule them all -- The emtsv pipeline for Hungarian

1 code implementation • WS 2019 • Bal{\'a}zs Indig, B{\'a}lint Sass, Eszter Simon, Iv{\'a}n Mittelholcz, No{\'e}mi Vad{\'a}sz, M{\'a}rton Makrai

We present a more efficient version of the e-magyar NLP pipeline for Hungarian called emtsv.

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)

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

What Do We Drink? Automatically Extending Hungarian WordNet With Selectional Preference Relations

no code implementations • WS 2013 • M{\'a}rton Mih{\'a}ltz, B{\'a}lint Sass