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Found 3 papers, 2 papers with code
ENCONTER: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer
Pretrained using large amount of data, autoregressive language models are able to generate high quality sequences.
MSD-1030: A Well-built Multi-Sense Evaluation Dataset for Sense Representation Models
However, most of these datasets are not designed for evaluating sense embeddings.
GenSense: A Generalized Sense Retrofitting Model
In the experiment, we show that the generalized model can outperform previous approaches in three types of experiment: semantic relatedness, contextual word similarity and semantic difference.
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