Eigen : A Step Towards Conversational AI
By William H. Guss. 2017
Subfields: Natural Language Processing
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
- Behnam Hedayatnia
- Raefer Gabriel
- Anu Venkatesh
- Chandra Khatri
- Ming Cheng
- Ashwin Ram
- Suman Banerjee
- Mitesh M. Khapra
Citations in the corpus
- Towards Exploiting Background Knowledge for Building Conversation Systems (2018, methodology): “The submission named Eigen (Guss et al., 2017) used several dialog datasets and corpora belonging to related Natural Language Processing tasks to make their responses more informative.”
- Conversational AI: The Science Behind the Alexa Prize (2018, methodology): “EigenBot (Guss et al., 2017) and Ruby Star (Liu et al., 2017), on the other hand, used Dynamic Memory Networks (Sukhbaatar et al., 2015), Character-Level Recursive Neural Networks (RNN) (Sutskever et al., 2011) and Word-based Sequence-to-Sequence Models (Klein et al., 2017) for generating responses…”