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06/06/2023
Towards Adaptable and Interactive Image Captioning with Data Augmentation and Episodic Memory
Interactive machine learning (IML) is a beneficial learning paradigm in ...
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06/06/2023
Putting Humans in the Image Captioning Loop
Image Captioning (IC) models can highly benefit from human feedback in t...
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01/24/2023
Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop
This paper presents our project proposal for extracting biomedical infor...
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04/19/2022
A survey on improving NLP models with human explanations
Training a model with access to human explanations can improve data effi...
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02/28/2022
Interactive Machine Learning for Image Captioning
We propose an approach for interactive learning for an image captioning ...
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09/14/2021
MDAPT: Multilingual Domain Adaptive Pretraining in a Single Model
Domain adaptive pretraining, i.e. the continued unsupervised pretraining...
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10/03/2019
Mapping (Dis-)Information Flow about the MH17 Plane Crash
Digital media enables not only fast sharing of information, but also dis...
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09/12/2019
Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction
The task of bilingual dictionary induction (BDI) is commonly used for in...
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04/08/2019
Issue Framing in Online Discussion Fora
In online discussion fora, speakers often make arguments for or against ...
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09/01/2018
Why is unsupervised alignment of English embeddings from different algorithms so hard?
This paper presents a challenge to the community: Generative adversarial...
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09/18/2017