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Found 5 papers, 2 papers with code
CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification
Basically, an instance-dependent soft prefix, derived from fact-counterfactual pairs in the label space, is leveraged to complement the language verbalizers in many-class classification.
Hierarchical Character Tagger for Short Text Spelling Error Correction
State-of-the-art approaches to spelling error correction problem include Transformer-based Seq2Seq models, which require large training sets and suffer from slow inference time; and sequence labeling models based on Transformer encoders like BERT, which involve token-level label space and therefore a large pre-defined vocabulary dictionary.
Learning Feature Interactions with Lorentzian Factorization Machine
Learning representations for feature interactions to model user behaviors is critical for recommendation system and click-trough rate (CTR) predictions.
Relation Embedding with Dihedral Group in Knowledge Graph
This new model learns knowledge graph embeddings that can capture relation compositions by nature.
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on YAGO3-10
Explainable Reasoning over Knowledge Graphs for Recommendation
Such connectivity not only reveals the semantics of entities and relations, but also helps to comprehend a user's interest.
