A Framework and Tool for Collaborative Extraction of Reliable Information

By Graham Neubig, Shinsuke Mori, Masahiro Mizukami. 2013

5 citations recorded by the source corpus.

Subfields: Natural Language Processing, Information Extraction

How researchers see this paper

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

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

• Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling (2021, background): “provision of information in such scenarios emphasizes the need for human-in-the-loop input to such systems in order to mitigate the risk of providing false information (Neubig et al., 2013).”
• SafetyKit: First Aid for Measuring Safety in Open-domain Conversational Systems (2022, background): “Work on automatic provision of information in such scenarios emphasizes the need for human-in-the-loop input to such systems in order to mitigate the risk of providing false information (Neubig et al., 2013).”