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Efficient Enumeration for Annotated Grammars

Summary: Defines annotated grammars—CFGs with terminal annotations—that extend regular spanners and strictly generalize Peterfreund's extraction grammars; formulates enumeration of all annotations yielding derivable words for a fixed grammar and input string. Main results: unambiguous grammars enumerated with O(n^3) preprocessing and output-linear delay (improves prior quintic); subclasses with single derivation shape admit O(n^2) preprocessing, and spanner-like classes admit O(n) preprocessing, all preserving output-linear delay. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1900
Venue
PODS
Year
2022
Pagerank
5.3483178e-05
Overall Rank
8,924 | 38.78%
DOI
10.1145/3517804.3526232

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Authors

BibTeX Citation

@inproceedings{amarilli_pods22,
        address = {New York, NY, USA},
        series = {{PODS} '22},
        title = {{Efficient Enumeration for Annotated Grammars}},
        url = {https://dl.acm.org/doi/10.1145/3517804.3526232},
        doi = {10.1145/3517804.3526232},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Amarilli, Antoine and Jachiet, Louis and Muñoz, Martín and Riveros, Cristian},
        year = {2022}
}

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