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Found 10 papers, 8 papers with code
OEKG: The Open Event Knowledge Graph
Accessing and understanding contemporary and historical events of global impact such as the US elections and the Olympic Games is a major prerequisite for cross-lingual event analytics that investigate event causes, perception and consequences across country borders.
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.
GeoWINE: Geolocation based Wiki, Image,News and Event Retrieval
The first module is a state-of-the-art model for geolocation estimation of images.
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.
ParaQA: A Question Answering Dataset with Paraphrase Responses for Single-Turn Conversation
This paper presents ParaQA, a question answering (QA) dataset with multiple paraphrased responses for single-turn conversation over knowledge graphs (KG).
Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs
In this work, we propose a novel framework named CARTON, which performs multi-task semantic parsing for handling the problem of conversational question answering over a large-scale knowledge graph.
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.
