Paper: Discriminating Image Senses By Clustering With Multimodal Features

ACL ID P06-2071
Title Discriminating Image Senses By Clustering With Multimodal Features
Venue Annual Meeting of the Association of Computational Linguistics
Session Poster Session
Year 2006
Authors

We discuss Image Sense Discrimination (ISD), and apply a method based on spec- tral clustering, using multimodal features from the image and text of the embedding web page. We evaluate our method on a new data set of annotated web images, re- trieved with ambiguous query terms. Ex- periments investigate different levels of sense granularity, as well as the impact of text and image features, and global versus local text features.