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Found 4 papers, 1 papers with code
TacoERE: Cluster-aware Compression for Event Relation Extraction
Existing work mainly focuses on directly modeling the entire document, which cannot effectively handle long-range dependencies and information redundancy.
LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection
Visual question answering (VQA) often requires an understanding of visual concepts and language semantics, which relies on external knowledge.
Ranked #21 on
Visual Question Answering (VQA)
on OK-VQA
Learning from Ontology Streams with Semantic Concept Drift
Data stream learning has been largely studied for extracting knowledge structures from continuous and rapid data records.
Passing a USA National Bar Exam: a First Corpus for Experimentation
The paper provides a corpus and experimental results with material derived from a real bar exam, treating the problem as a form of textual entailment from the question to an answer.
