An Extensible and Reusable Pipeline for Automated Utterance Paraphrases
Summary: Extensible, reusable pipeline for utterance paraphrasing within a unified, configurable framework. Demonstrates scalable, cost-efficient paraphrase generation by integrating existing techniques to accelerate Conversational AI. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Auday Berro (Claude Bernard Lyon 1 University)
- 2. Mohammad-Ali Yaghub Zade Fard (University of New South Wales)
- 3. Marcos Baez (Claude Bernard Lyon 1 University)
- 4. Boualem Benatallah (Claude Bernard Lyon 1 University; University of New South Wales)
- 5. Khalid Benabdeslem (Claude Bernard Lyon 1 University)
BibTeX Citation
@article{berro_vldb21,
title = {{An Extensible and Reusable Pipeline for Automated Utterance Paraphrases}},
author = {Berro, Auday and Fard, Mohammad-Ali Yaghub Zade and Baez, Marcos and Benatallah, Boualem and Benabdeslem, Khalid},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {2839--2842},
doi = {10.14778/3476311.3476358},
url = {https://doi.org/10.14778/3476311.3476358},
year = {2021}
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|---|---|---|---|---|
| 205 | Snorkel: Rapid Training Data Creation with Weak Supervision | 2018 | VLDB | 0.00025235185 |
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