Papers with CFO

3 papers
ARES: A Reading Comprehension Ensembling Service (2020.emnlp-demos)

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Challenge: ARES is a machine reading comprehension (MRC) demonstration system which utilizes an ensemble of models to increase F1 by 2.3 points.
Approach: They propose a machine reading comprehension (MRC) demonstration system which utilizes an ensemble of models to increase F1 by 2.3 points.
Outcome: The proposed system increases F1 by 2.3 points on a short answer task using an ensemble of models.
CFO: A Framework for Building Production NLP Systems (D19-3)

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Challenge: Using a new orchestration framework, we build, test, and deploy interactive NLP and IR systems to production environments.
Approach: They introduce a new orchestration framework for building, experimenting with, and deploying interactive NLP and IR systems to production environments.
Outcome: The proposed framework is well suited to a variety of use cases but is not suitable for academic benchmarking or industry specific use cases.
A Multilingual Reading Comprehension System for more than 100 Languages (2020.coling-demos)

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Challenge: Recent advances in open domain question answering (QA) have focused on machine reading comprehension (MRC)
Approach: They propose a multilingual machine reading comprehension (MRC) demo which can answer questions in over 100 languages.
Outcome: The proposed system can answer questions in over 100 languages and integrates with IBM Watson's machine translation widget to improve language accessibility.

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