AcX: System, Techniques, and Experiments for Acronym Expansion
Summary: AcX is an open, extensible acronym-expansion system that identifies acronyms and suggests contextually appropriate expansions via pluggable inference modules. It introduces three new benchmarks, ensemble methods, and evaluation against MadDog on a human-annotated Wikipedia corpus, showing gaps to human accuracy and multilingual support. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. João L. M. Pereira (Institute for Systems and Computer Engineering, Research and Development; Instituto Superior Tecnico; University of Amsterdam)
- 2. João Casanova (Hitachi)
- 3. Helena Galhardas (Institute for Systems and Computer Engineering, Research and Development; Instituto Superior Tecnico)
- 4. Dennis Shasha (Courant Institute of Mathematical Sciences, New York University)
BibTeX Citation
@article{pereira_vldb22,
title = {{AcX: System, Techniques, and Experiments for Acronym Expansion}},
author = {Pereira, João L. M. and Casanova, João and Galhardas, Helena and Shasha, Dennis},
journal = {PVLDB},
series = {{VLDB} '22},
volume = {15},
number = {11},
pages = {2530--2544},
doi = {10.14778/3551793.3551812},
url = {https://doi.org/10.14778/3551793.3551812},
year = {2022}
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