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Found 4 papers, 2 papers with code
Commonsense Knowledge Mining from Term Definitions
Commonsense knowledge has proven to be beneficial to a variety of application areas, including question answering and natural language understanding.
Exploring and Analyzing Machine Commonsense Benchmarks
Commonsense question-answering (QA) tasks, in the form of benchmarks, are constantly being introduced for challenging and comparing commonsense QA systems.
Leveraging Medical Literature for Section Prediction in Electronic Health Records
We propose using sections from medical literature (e. g., textbooks, journals, web content) that contain content similar to that found in EHR sections.
Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text
Inspired by recent successes in neural machine translation, we treat the triples within a given knowledge graph as an independent graph language and propose an encoder-decoder framework with an attention mechanism that leverages knowledge graph embeddings.
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