Sentence Length

no code implementations • WS 2019 • G{\'a}bor Borb{\'e}ly, Andr{\'a}s Kornai

Sentence

Evaluating multi-sense embeddings for semantic resolution monolingually and in word translation

no code implementations • WS 2016 • G{\'a}bor Borb{\'e}ly, M{\'a}rton Makrai, D{\'a}vid M{\'a}rk Nemeskey, Andr{\'a}s Kornai

Translation Word Embeddings +1

Measuring Semantic Similarity of Words Using Concept Networks

1 code implementation • WS 2016 • G{\'a}bor Recski, Eszter Ikl{\'o}di, Katalin Pajkossy, Andr{\'a}s Kornai

Representation Learning Semantic Similarity +2

Evaluating embeddings on dictionary-based similarity

no code implementations • WS 2016 • Judit {\'A}cs, Andr{\'a}s Kornai

Information Retrieval Word Sense Disambiguation

Detecting Optional Arguments of Verbs

no code implementations • LREC 2016 • Andr{\'a}s Kornai, D{\'a}vid M{\'a}rk Nemeskey, G{\'a}bor Recski

We propose a novel method for detecting optional arguments of Hungarian verbs using only positive data.

Clustering

Lexical Semantics and Model Theory: Together at Last?

no code implementations • WS 2015 • Andr{\'a}s Kornai, Marcus Kracht

Competence in lexical semantics

1 code implementation • SEMEVAL 2015 • Andr{\'a}s Kornai, Judit {\'A}cs, M{\'a}rton Makrai, D{\'a}vid M{\'a}rk Nemeskey, Katalin Pajkossy, G{\'a}bor Recski

The mathematics of language learning

no code implementations • ACL 2013 • Andr{\'a}s Kornai, Gerald Penn, James Rogers, Anssi Yli-Jyr{\"a}

Natural Language Inference Optical Character Recognition (OCR) +1

Applicative structure in vector space models

no code implementations • WS 2013 • M{\'a}rton Makrai, David Mark Nemeskey, Andr{\'a}s Kornai

Building basic vocabulary across 40 languages

1 code implementation • WS 2013 • Judit {\'A}cs, Katalin Pajkossy, Andr{\'a}s Kornai

Structure Learning in Weighted Languages

no code implementations • WS 2013 • Andr{\'a}s Kornai, Attila Zs{\'e}der, G{\'a}bor Recski

Language Modelling

Rapid creation of large-scale corpora and frequency dictionaries

no code implementations • LREC 2012 • Attila Zs{\'e}der, G{\'a}bor Recski, D{\'a}niel Varga, Andr{\'a}s Kornai

We describe, and make public, large-scale language resources and the toolchain used in their creation, for fifteen medium density European languages: Catalan, Czech, Croatian, Danish, Dutch, Finnish, Lithuanian, Norwegian, Polish, Portuguese, Romanian, Serbian, Slovak, Spanish, and Swedish.

Sentence