Dávid Márk Nemeskey

Also published as: David Mark Nemeskey


Evaluating multi-sense embeddings for semantic resolution monolingually and in word translation
Gábor Borbély | Márton Makrai | Dávid Márk Nemeskey | András Kornai
Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP

Detecting Optional Arguments of Verbs
András Kornai | Dávid Márk Nemeskey | Gábor Recski
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

We propose a novel method for detecting optional arguments of Hungarian verbs using only positive data. We introduce a custom variant of collexeme analysis that explicitly models the noise in verb frames. Our method is, for the most part, unsupervised: we use the spectral clustering algorithm described in Brew and Schulte in Walde (2002) to build a noise model from a short, manually verified seed list of verbs. We experimented with both raw count- and context-based clusterings and found their performance almost identical. The code for our algorithm and the frame list are freely available at http://hlt.bme.hu/en/resources/tade.


Competence in lexical semantics
András Kornai | Judit Ács | Márton Makrai | Dávid Márk Nemeskey | Katalin Pajkossy | Gábor Recski
Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics


Why Implementation Matters: Evaluation of an Open-source Constraint Grammar Parser
Dávid Márk Nemeskey | Francis Tyers | Mans Hulden
Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers


Applicative structure in vector space models
Márton Makrai | David Mark Nemeskey | András Kornai
Proceedings of the Workshop on Continuous Vector Space Models and their Compositionality


Automatically generated NE tagged corpora for English and Hungarian
Eszter Simon | Dávid Márk Nemeskey
Proceedings of the 4th Named Entity Workshop (NEWS) 2012