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Found 9 papers, 6 papers with code
Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs
The majority of existing ConvQA methods rely on full supervision signals with a strict assumption of the availability of gold logical forms of queries to extract answers from the KG.
An Answer Verbalization Dataset for Conversational Question Answerings over Knowledge Graphs
We introduce a new dataset for conversational question answering over Knowledge Graphs (KGs) with verbalized answers.
VOGUE: Answer Verbalization through Multi-Task Learning
The VOGUE framework attempts to generate a verbalized answer using a hybrid approach through a multi-task learning paradigm.
Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks
For this task, we propose LASAGNE (muLti-task semAntic parSing with trAnsformer and Graph atteNtion nEtworks).
Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records
We evaluate DARLING through link prediction for treatments and medicines, on a medical KG constructed from EMR data, and illustrate its superior performance compared to existing KG embedding models.
Training Multimodal Systems for Classification with Multiple Objectives
We learn about the world from a diverse range of sensory information.
MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities
We demonstrate the value of the resource in developing novel applications in the digital humanities with a motivating use case and specify a benchmark set of tasks to retrieve modalities and locate entities in the dataset.
The Semantic Asset Administration Shell
The disruptive potential of the upcoming digital transformations for the industrial manufacturing domain have led to several reference frameworks and numerous standardization approaches.
Virtual Representations for Iterative IoT Deployment
A central vision of the Internet of Things is the representation of the physical world in a consistent virtual environment.
