MamaBot: a System based on ML and NLP for supporting Women and Families during Pregnancy

By L. Vaira, Mario Alessandro Bochicchio, Matteo Conte, Francesco Margiotta Casaluci, A. Melpignano. 2018

53 citations recorded by the source corpus.

Subfields: Applied Psychology, Artificial Intelligence, General Health Professions, Natural Language Processing, Medical & Health AI

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Y-Lan Boureau
2. Emily Dinan
3. Gavin Abercrombie
4. Shannon L. Spruit
5. Dirk Hovy
6. A. S. Bergman
7. Verena Rieser
8. Jason Aaron Edward Weston

In General Health Professions

1. Dirk Hovy
2. Shannon L. Spruit

In Natural Language Processing

1. Y-Lan Boureau
2. Emily Dinan
3. Gavin Abercrombie
4. Dirk Hovy
5. Shannon L. Spruit
6. Verena Rieser
7. A. S. Bergman
8. Jason Aaron Edward Weston

Citations in the corpus

• Guiding the Release of Safer E2E Conversational AI through Value Sensitive Design (2022, methodology): “Conversational systems designed for discussing health issues tend to not be generative models and use expert-produced rather than generic data (e.g. Brixey et al., 2017; Fadhil and AbuRa’ed, 2019; Vaira et al., 2018; Pereira and Díaz, 2019).”