Search Results for author:
Found 4 papers, 1 papers with code
ShopTalk: A System for Conversational Faceted Search
The dialog understanding system consists of a deep-learned Contextual Language Understanding module, which interprets user utterances, and a primarily rules-based Dialog-State Tracker (DST), which updates the dialog state and formulates search requests intended for the fulfillment engine.
ReadTwice: Reading Very Large Documents with Memories
Knowledge-intensive tasks such as question answering often require assimilating information from different sections of large inputs such as books or article collections.
FNet: Mixing Tokens with Fourier Transforms
At longer input lengths, our FNet model is significantly faster: when compared to the "efficient" Transformers on the Long Range Arena benchmark, FNet matches the accuracy of the most accurate models, while outpacing the fastest models across all sequence lengths on GPUs (and across relatively shorter lengths on TPUs).
Ranked #5 on
Paraphrase Identification
on Quora Question Pairs
DOCENT: Learning Self-Supervised Entity Representations from Large Document Collections
This enables a new class of powerful, high-capacity representations that can ultimately distill much of the useful information about an entity from multiple text sources, without any human supervision.
