mlsanityData to 7 Oct 2026

AE THEL: Automatically Extracted Typelogical Derivations for Dutch

arXiv 1912.12635 ↗First posted 29 Dec 2019cs.CLcited by 5

Not on the map. Why?

Abstract (arXiv)

We present AETHEL, a semantic compositionality dataset for written Dutch. AETHEL consists of two parts. First, it contains a lexicon of supertags for about 900 000 words in context. The supertags correspond to types of the simply typed linear lambda-calculus, enhanced with dependency decorations that capture grammatical roles supplementary to function-argument structures. On the basis of these types, AETHEL further provides 72 192 validated derivations, presented in four formats: natural-deduction and sequent-style proofs, linear logic proofnets and the associated programs (lambda terms) for meaning composition. AETHEL's types and derivations are obtained by means of an extraction algorithm applied to the syntactic analyses of LASSY Small, the gold standard corpus of written Dutch. We discuss the extraction algorithm and show how `virtual elements' in the original LASSY annotation of unbounded dependencies and coordination phenomena give rise to higher-order types. We suggest some example usecases highlighting the benefits of a type-driven approach at the syntax semantics interface. The following resources are open-sourced with AETHEL: the lexical mappings between words and types, a subset of the dataset consisting of 7 924 semantic parses, and the Python code that implements the extraction algorithm.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Dec 2019.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2021: 2; 2022: 2; 2023: 1.

5 papers.