Papers with unsupervised segmentation

1 papers
A Systematic Study of Leveraging Subword Information for Learning Word Representations (N19-1)

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Challenge: Existing word representation models for morphologically rich languages use subword-level information, but their systematic comparative analysis across typologically diverse languages and tasks is still missing.
Approach: They propose a framework for learning subword-informed word representations that allows for easy experimentation with different segmentation and composition components.
Outcome: The proposed framework allows for easy experimentation with different segmentation and composition components, as well as advanced techniques based on position embeddings and self-attention.

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