Paper: A Computational Approach to Generate a Sensorial Lexicon

ACL ID W14-4716
Title A Computational Approach to Generate a Sensorial Lexicon
Venue Workshop on Cognitive Aspects of the Lexicon
Year 2014

While humans are capable of building connections between words and sensorial modalities by using commonsense knowledge, it is not straightforward for machines to interpret sensorial in- formation. To this end, a lexicon associating words with human senses, namely sight, hearing, taste, smell and touch, would be crucial. Nonetheless, to the best of our knowledge, there is no systematic attempt in the literature to build such a resource. In this paper, we propose a compu- tational method based on bootstrapping and corpus statistics to automatically associate English words with senses. To evaluate the quality of the resulting lexicon, we create a gold standard via crowdsourcing and show that a simple classifier relying on the lexicon outperforms two base- lines on a sensory classification tas...