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SPINDLE: Spinning Raw Text into Lambda Terms with Graph Attention

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arxiv 2302.12050 v1 pith:5Q6UPV77 submitted 2023-02-23 cs.CL cs.AIcs.LGcs.LO

SPINDLE: Spinning Raw Text into Lambda Terms with Graph Attention

classification cs.CL cs.AIcs.LGcs.LO
keywords graphlambdaparserproofspindletermstextaccurate
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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This paper describes SPINDLE - an open source Python module implementing an efficient and accurate parser for written Dutch that transforms raw text input to programs for meaning composition, expressed as {\lambda} terms. The parser integrates a number of breakthrough advances made in recent years. Its output consists of hi-res derivations of a multimodal type-logical grammar, capturing two orthogonal axes of syntax, namely deep function-argument structures and dependency relations. These are produced by three interdependent systems: a static type-checker asserting the well-formedness of grammatical analyses, a state-of-the-art, structurally-aware supertagger based on heterogeneous graph convolutions, and a massively parallel proof search component based on Sinkhorn iterations. Packed in the software are also handy utilities and extras for proof visualization and inference, intended to facilitate end-user utilization.

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