2 citations · 3 across the 4 of their papers we have counts for
5 papers
Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering
Longquan Jiang, Junbo Huang, Cedric Möller +1
Most existing Knowledge Graph Question Answering (KGQA) approaches are designed for a specific KG, such as Wikidata, DBpedia or Freebase. Due to the heterogeneity of the underlying…
MOSMOS: Multi-organ segmentation facilitated by medical report supervision
Weiwei Tian, Xinyu Huang, Junlin Hou +6
Owing to a large amount of multi-modal data in modern medical systems, such as medical images and reports, Medical Vision-Language Pre-training (Med-VLP) has demonstrated incredibl…
Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?
Longquan Jiang, Ricardo Usbeck
Existing approaches on Question Answering over Knowledge Graphs (KGQA) have weak generalizability. That is often due to the standard i.i.d. assumption on the underlying dataset. Re…
Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisis
Aleksandr Perevalov, Xi Yan, Liubov Kovriguina +3
Data-driven systems need to be evaluated to establish trust in the scientific approach and its applicability. In particular, this is true for Knowledge Graph (KG) Question Answerin…
Siamese Networks for Semantic Pattern Similarity
Yassine Benajiba, Jin Sun, Yong Zhang +3
Semantic Pattern Similarity is an interesting, though not often encountered NLP task where two sentences are compared not by their specific meaning, but by their more abstract sema…