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Found 5 papers, 3 papers with code
Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering
Most existing Knowledge Graph Question Answering (KGQA) approaches are designed for a specific KG, such as Wikidata, DBpedia or Freebase.
MOSMOS: Multi-organ segmentation facilitated by medical report supervision
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 incredible achievements in coarse-grained downstream tasks (i. e., medical classification, retrieval, and visual question answering).
Knowledge Graph Question Answering Datasets and Their Generalizability: Are They Enough for Future Research?
Existing approaches on Question Answering over Knowledge Graphs (KGQA) have weak generalizability.
Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisis
In particular, the latest and most-used datasets in the KGQA community, LC-QuAD and QALD, miss providing central and up-to-date points of trust.
Siamese Networks for Semantic Pattern Similarity
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 semantic pattern (e. g., preposition or frame).
