RETHINKING POSITIONAL EMBEDDING: A CASE STUDY IN TEMPORAL EVENT SEQUENCE MODELLINGDownload PDF

01 Mar 2023 (modified: 31 May 2023)Submitted to Tiny Papers @ ICLR 2023Readers: Everyone
Keywords: Sequential Modelliing
TL;DR: An empirical comparison of sinusoidal positional embedding and time-based embedding in transformer. Certain application domains, such as in health and education sector, time-based attention can be
Abstract: In this paper, we present a time-decaying encoding as an alternative to sinusoidal positional encoding in the transformer architecture. We evaluate our approach in the context of an educational domain involving 14,043 question-solving interactions from 1,260 students. We argue that including time-based attention can be beneficial for event sequence modeling applications where the inter-event time intervals and the interpretation of the model's prediction both are crucial.
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