МультимодальныеДанные

AbstractRecent years witness a growing interest in the use of multimodal data for modelling of communicative behaviour in dialogue. Dybkjaer and Bernsen (2002), point out that coding schemes for multimodal …...

AbstractIn this paper, we describe the organization and the implementation of the CAMOMILE collaborative annotation framework for multimodal, multimedia, multilingual (3M) data. Given the versatile nature of the analysis which …...

AbstractIn this paper we argue that crime drama exemplified in television programs such as CSI: Crime Scene Investigation is an ideal testbed for approximating real-world natural language understanding and the …...

AbstractComputing author intent from multimodal data like Instagram posts requires modeling a complex relationship between text and image. For example, a caption might evoke an ironic contrast with the image, …...

AbstractRecently, opinion summarization, which is the generation of a summary from multiple reviews, has been conducted in a self-supervised manner by considering a sampled review as a pseudo summary. However, …...

We present the PagkataoKo Dataset, a new dataset for Filipino Automatic Personal- ity Recognition (APR) containing demo- graphic, personality trait, and social media data sourced from 3,128 Filipino Instagram and/or …...

AbstractPrerecorded laughter accompanying dialog in comedy TV shows encourages the audience to laugh by clearly marking humorous moments in the show. We present an approach for automatically detecting humor in …...

AbstractSignificant developments in techniques such as encoder-decoder models have enabled us to represent information comprising multiple modalities. This information can further enhance many downstream tasks in the field of information …...