BMEAUT at SemEval-2020 Task 2: Lexical Entailment with Semantic Graphs

no code implementations • SEMEVAL 2020 • {\'A}d{\'a}m Kov{\'a}cs, Kinga G{\'e}mes, Andras Kornai, G{\'a}bor Recski

In this paper we present a novel rule-based, language independent method for determining lexical entailment relations using semantic representations built from Wiktionary definitions.

Lexical Entailment Semantic Parsing +1

Better Together: Modern Methods Plus Traditional Thinking in NP Alignment

no code implementations • LREC 2020 • {\'A}d{\'a}m Kov{\'a}cs, Judit {\'A}cs, Andras Kornai, G{\'a}bor Recski

We study a typical intermediary task to Machine Translation, the alignment of NPs in the bitext.

Lemmatization Machine Translation +1

BME-UW at SRST-2019: Surface realization with Interpreted Regular Tree Grammars

no code implementations • WS 2019 • {\'A}d{\'a}m Kov{\'a}cs, Evelin {\'A}cs, Judit {\'A}cs, Andras Kornai, G{\'a}bor Recski

The Surface Realization Shared Task involves mapping Universal Dependency graphs to raw text, i. e. restoring word order and inflection from a graph of typed, directed dependencies between lemmas.

Semantic Parsing

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

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

Building Concept Graphs from Monolingual Dictionary Entries

no code implementations • LREC 2016 • G{\'a}bor Recski

We present the dict{\_}to{\_}4lang tool for processing entries of three monolingual dictionaries of English and mapping definitions to concept graphs following the 4lang principles of semantic representation introduced by (Kornai, 2010).

Semantic Textual Similarity

MathLingBudapest: Concept Networks for Semantic Similarity

1 code implementation • SEMEVAL 2015 • G{\'a}bor Recski, Judit {\'A}cs

Graph Similarity Semantic Similarity +1

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

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