Christopher Davis


2019

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Deconstructing multimodality: visual properties and visual context in human semantic processing
Christopher Davis | Luana Bulat | Anita Lilla Vero | Ekaterina Shutova
Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019)

Multimodal semantic models that extend linguistic representations with additional perceptual input have proved successful in a range of natural language processing (NLP) tasks. Recent research has successfully used neural methods to automatically create visual representations for words. However, these works have extracted visual features from complete images, and have not examined how different kinds of visual information impact performance. In contrast, we construct multimodal models that differentiate between internal visual properties of the objects and their external visual context. We evaluate the models on the task of decoding brain activity associated with the meanings of nouns, demonstrating their advantage over those based on complete images.

2010

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Decision Theory and Discourse Particles: A Case Study from a Large Japanese Sentiment Corpus
Christopher Davis
Proceedings of the 24th Pacific Asia Conference on Language, Information and Computation