1 code implementation • LREC 2022 • Ulrich Rückert, Srinivas Sunkara, Abhinav Rastogi, Sushant Prakash, Pranav Khaitan
Second, we open-source a neural network architecture for context tracking.
no code implementations • 24 Nov 2020 • Jihyeon Lee, Joseph Z. Xu, Kihyuk Sohn, Wenhan Lu, David Berthelot, Izzeddin Gur, Pranav Khaitan, Ke-Wei, Huang, Kyriacos Koupparis, Bernhard Kowatsch
To respond to disasters such as earthquakes, wildfires, and armed conflicts, humanitarian organizations require accurate and timely data in the form of damage assessments, which indicate what buildings and population centers have been most affected.
2 code implementations • 2 Feb 2020 • Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta, Pranav Khaitan
The goal of this task is to develop dialogue state tracking models suitable for large-scale virtual assistants, with a focus on data-efficient joint modeling across domains and zero-shot generalization to new APIs.
no code implementations • 14 Oct 2019 • Joseph Z. Xu, Wenhan Lu, Zebo Li, Pranav Khaitan, Valeriya Zaytseva
In all types of disasters, from earthquakes to armed conflicts, aid workers need accurate and timely data such as damage to buildings and population displacement to mount an effective response.
4 code implementations • 12 Sep 2019 • Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta, Pranav Khaitan
In this work, we introduce the the Schema-Guided Dialogue (SGD) dataset, containing over 16k multi-domain conversations spanning 16 domains.
no code implementations • 10 Jul 2019 • Manas R. Joglekar, Cong Li, Jay K. Adams, Pranav Khaitan, Quoc V. Le
During training we use reinforcement learning to find the optimal vocabulary size for each feature and embedding dimension for each value of the feature.