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