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Found 7 papers, 4 papers with code
Syllable based DNN-HMM Cantonese Speech to Text System
This paper reports our work on building up a Cantonese Speech-to-Text (STT) system with a syllable based acoustic model.
Relation Extraction with Self-determined Graph Convolutional Network
The state-of-the-art methods use linguistic tools to build a graph for the text in which the entities appear and then a Graph Convolutional Network (GCN) is employed to encode the pre-built graphs.
Autoencoding Keyword Correlation Graph for Document Clustering
The graph is constructed with topical keywords as nodes and multiple local and global features as edges.
Enhancing biomedical word embeddings by retrofitting to verb clusters
Verbs play a fundamental role in many biomed-ical tasks and applications such as relation and event extraction.
A neural network multi-task learning approach to biomedical named entity recognition
Additionally, we investigated the effect of dataset size on performance in both single- and multi-task settings.
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