activity
20172019
most citedKnowledge-rich Image Gist Understanding Beyond Literal Meaning

13 citations · 22 across the 3 of their papers we have counts for

collaborators

5 papers

cs.IR2019

Report on the First HIPstIR Workshop on the Future of Information Retrieval

Laura Dietz, Bhaskar Mitra, Jeremy Pickens +21

The vision of HIPstIR is that early stage information retrieval (IR) researchers get together to develop a future for non-mainstream ideas and research agendas in IR. The first ite…

cs.IR201913 cited

Knowledge-rich Image Gist Understanding Beyond Literal Meaning

Lydia Weiland, Ioana Hulpus, Simone Paolo Ponzetto +2

We investigate the problem of understanding the message (gist) conveyed by images and their captions as found, for instance, on websites or news articles. To this end, we propose a…

cs.MM2018

Understanding the Gist of Images - Ranking of Concepts for Multimedia Indexing

Lydia Weiland, Simone Paolo Ponzetto, Wolfgang Effelsberg +1

Nowadays, where multimedia data is continuously generated, stored, and distributed, multimedia indexing, with its purpose of group- ing similar data, becomes more important than ev…

cs.IR2018

On the Equivalence of Generative and Discriminative Formulations of the Sequential Dependence Model

Laura Dietz, John Foley

The sequential dependence model (SDM) is a popular retrieval model which is based on the theory of probabilistic graphical models. While it was originally introduced by Metzler and…

cs.IR20179 cited

Benchmark for Complex Answer Retrieval

Federico Nanni, Bhaskar Mitra, Matt Magnusson +1

Retrieving paragraphs to populate a Wikipedia article is a challenging task. The new TREC Complex Answer Retrieval (TREC CAR) track introduces a comprehensive dataset that targets…