  Environmental factors determine the smells we perceive, but societal factors
factors shape the importance, sentiment and biases we give to them.
Descriptions of smells in text, or as we call them `smell experiences', offer a
window into these factors, but they must first be identified. To the best of
our knowledge, no tool exists to extract references to smell experiences from
text. In this paper, we present two variations on a semi-supervised approach to
identify smell experiences in English literature. The combined set of patterns
from both implementations offer significantly better performance than a
keyword-based baseline.
