SpannerLib: Embedding Declarative Information Extraction in an Imperative Workflow
Summary: SpannerLib embeds Spannerlog’s declarative document-spanner IE in Python workflows. It supports bidirectional integration: Python invokes spanner rules, while rules call user-defined code such as ML-based NLP models. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Dean Light (Technion)
- 2. Ahmad Aiashy (Technion)
- 3. Mahmoud Diab (Technion)
- 4. Daniel Nachmias (Technion)
- 5. Stijn Vansummeren (University of Hasselt)
- 6. Benny Kimelfeld (Technion)
BibTeX Citation
@article{light_vldb24,
title = {{SpannerLib: Embedding Declarative Information Extraction in an Imperative Workflow}},
author = {Light, Dean and Aiashy, Ahmad and Diab, Mahmoud and Nachmias, Daniel and Vansummeren, Stijn and Kimelfeld, Benny},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4281--4284},
doi = {10.14778/3685800.3685855},
url = {https://doi.org/10.14778/3685800.3685855},
year = {2024}
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