Papers by Pietro Totis

2 papers
Mapping probability word problems to executable representations (2021.emnlp-main)

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Challenge: a recent paper addresses the problem of solving math word problems automatically . a number of approaches have been proposed for solving word problems .
Approach: They employ a sequence-to-sequence model to generate intermediate representations for word problems . they then use a probabilistic programming system to provide the answer . their best performing model incorporates general-domain contextualised word representations .
Outcome: The proposed model is the best performing on a declarative language and a probabilistic programming system.
Advanced Messaging Platform (AMP): Pipeline for Automated Enterprise Email Processing (2025.acl-industry)

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Challenge: a lack of publicly available datasets for training and benchmarking limits current AI techniques' effectiveness in industry-specific applications.
Approach: They propose an email automation pipeline that automates email response generation at scale in real-world enterprise settings.
Outcome: The proposed pipeline automates email response generation at scale in real-world environments.

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