Papers with classification predictions
Multi-view Classification Model for Knowledge Graph Completion (2020.aacl-main)
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| Challenge: | Existing knowledge graph completion models only evaluated candidate triples from content information. |
| Approach: | They propose a multi-view classification model where multiple views are performed based on both content and context information for candidate triple evaluation. |
| Outcome: | The proposed model improves on two representative datasets and improves performance. |
RANCC: Rationalizing Neural Networks via Concept Clustering (2020.coling-main)
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| Challenge: | Existing models that construct explanations concurrently with classification predictions are opaque. |
| Approach: | They propose a self-explainable model for Natural Language Processing (NLP) text classification tasks . they extract a rationale from the text and use it to predict a concept of interest . |
| Outcome: | The proposed model can be compressed without complicated compression techniques. |