Spandana Gella, Mirella Lapata, and Frank Keller. 2016. Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings. In Proceedings of the ...

Mar 30, 2016 · We propose an unsupervised algorithm based on Lesk which performs visual sense disambiguation using textual, visual, or multimodal embeddings.

An unsupervised algorithm based on Lesk is proposed which performs visual sense disambiguation using textual, visual, or multimodal embeddings and VerSe, ...

We propose an unsupervised algorithm based on Lesk which performs vi- sual sense disambiguation using textual, vi- sual, or multimodal embeddings. We find that.

We introduce VerSe, a new dataset that augments existing multimodal datasets (COCO and TUHOI) with sense labels. We propose an unsupervised algorithm based on ...

Spandana Gella, Mirella Lapata, Frank Keller: Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings. HLT-NAACL 2016: 182-192.

We introduce VerSe, a new data set that augments existing multimodal data sets (COCO and TUHOI) with sense labels. We propose an unsupervised algorithm based on ...

Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings. Spandana Gella. ,. Mirella Lapata. ,. Frank Keller. Show full list: 3 authors.

Creation of the Verse dataset and the unsupervised model proposed to use the Multimodal features are described more detail in the paper: Spandana Gella, Mirella ...

We explore supervised and unsupervised models for the sense disambiguation task using textual, visual, and multimodal embeddings. We also consider a ...