  The paper presents a novel method of finding a fragment in a long temporal
sequence similar to the set of shorter sequences. We are the first to propose
an algorithm for such a search that does not rely on computing the average
sequence from query examples. Instead, we use query examples as is, utilizing
all of them simultaneously. The introduced method based on the Dynamic Time
Warping (DTW) technique is suited explicitly for few-shot query-by-example
retrieval tasks. We evaluate it on two different few-shot problems from the
field of Natural Language Processing. The results show it either outperforms
baselines and previous approaches or achieves comparable results when a low
number of examples is available.

Data Structures and Algorithms;Computation and Language;Information Retrieval