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Found 6 papers, 3 papers with code
Crowdsourcing Evaluation of Saliency-based XAI Methods
In order to compare various saliency-based XAI methods quantitatively, several approaches for automated evaluation schemes have been proposed; however, there is no guarantee that such automated evaluation metrics correctly evaluate explainability, and a high rating by an automated evaluation scheme does not necessarily mean a high explainability for humans.
Inter-domain Multi-relational Link Prediction
Multi-relational graph is a ubiquitous and important data structure, allowing flexible representation of multiple types of interactions and relations between entities.
Bermuda Triangles: GNNs Fail to Detect Simple Topological Structures
Most graph neural network architectures work by message-passing node vector embeddings over the adjacency matrix, and it is assumed that they capture graph topology by doing that.
Shrinking Japanese Morphological Analyzers With Neural Networks and Semi-supervised Learning
Morphological analyzers are trained on data hand-annotated with segmentation boundaries and part of speech tags.
Juman++: A Morphological Analysis Toolkit for Scriptio Continua
We present a three-part toolkit for developing morphological analyzers for languages without natural word boundaries.
Automatic Extraction of High-Quality Example Sentences for Word Learning Using a Determinantal Point Process
Flashcard systems are effective tools for learning words but have their limitations in teaching word usage.
