Irina Rish

TL;DR: This work proposes to use random subspaces of KLSH codes for efficiently constructing an explicit representation of NLP structures suitable for general classification methods using kernelized locality-sensitive hashing (KLSH), and evaluates the proposed approach on biomedical relation extraction datasets.

TL;DR: This paper proposes an efficient method for optimizing an existing flowchart based on a conversion to an auxiliary matrix representation and shows that the two representations are informationally equivalent in the sense that one can be transformed into the other so that if both are used as black-boxes, one would not be able to tell them apart, regardless of which state the system is in.

TL;DR: In this article, a method to send an alert for nonproductivity associated with a conversation is provided, which may include recording a plurality of communication outputs of at least two users engaged in a remote message exchange or a remote conversation.

TL;DR: The results suggest any DCT method can help save lives, support re-opening of economies, and prevent second-wave outbreaks, and that FCT methods are a promising direction for enriching BCT using self-reported symptoms, yielding earlier warning signals and a significantly reduced spread of the virus per socioeconomic cost.

TL;DR: In this article, a system and article of manufacture for smart reminder management include receiving input pertaining to a user task for which a schedule reminder is to be managed, automatically determining a timing and repetition management scheme for the schedule reminder based on a user model, analysis of current user context and a model of oscillators.