DFKI - Interactive Machine Learning Lab

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2019

Machine Learning

Active Learning in Image Captioning

In this present day and age of smart phones, ipads and other smart devices a digital camera has become an integral part of our daily experience. This combined with our desire to capture moments in images has lead to a vast repository of myriad images on the internet. In this Read more…

By Michael Barz, 6 yearsMay 15, 2019 ago
Natural Language Processing

Incremental Improvement of a Question Answering System by Re-ranking

We implement a method for re-ranking top-10 results of a state-of-the-art question answering (QA) system. The goal of our re-ranking approach is to improve the answer selection given the user question and the top-10 candidates. We focus on improving deployed QA systems that do not allow re-training or when re-training Read more…

By Michael Barz, 6 yearsMay 15, 2019 ago
Multimodality

Multimodal Interactive Knowledge Exploration

In this project, we consider scenarios which include one or more expert users that interact with a multimodal-multisensor interface. In particular, we focus on applications of eye tracking and speech-based input for semantic search applications, e.g., interactive knowledge exploration. We aim at developing interaction techniques for individual modalities, combinations thereof Read more…

By Michael Barz, 6 yearsFebruary 7, 2019 ago
Multimodality

Multimodal Dementia Tests with Embodied Conversational Agents in VR

Embodied conversational agents will be used for exploring multimodal approaches of active input in virtual reality (combination of speech and pen input) to determine the cognitive status of the user. Contact Fabrizio Nunnari

By Alexander Prange, 6 yearsJanuary 1, 2019 ago
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