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Found 12 papers, 0 papers with code
The Language of Brain Signals: Natural Language Processing of Electroencephalography Reports
By exemplifying a self-attention joint-learning to predict similar annotations in the EEG report corpus, we discuss the promising results, hoping that our effort will inform the design of novel knowledge capture techniques that will include the language of brain signals.
Embedding Open-domain Common-sense Knowledge from Text
Building a knowledge graph for representing common-sense knowledge in which concepts discerned from noun phrases are cast as vertices and lexicalized relations are cast as edges leads to learning the embeddings of common-sense knowledge accounting for semantic compositionality as well as implied knowledge.
Clinical Data-Driven Probabilistic Graph Processing
To perform inference on the graphical model, we describe a technique of smoothing the conditional likelihood of medical concepts by their semantically-similar belief values.
Annotating Spatial Containment Relations Between Events
Events form complex predicate-argument structures that model the participants in the event, their roles, as well as the temporal and spatial grounding.
EmpaTweet: Annotating and Detecting Emotions on Twitter
The rise of micro-blogging in recent years has resulted in significant access to emotion-laden text.
