Papers by Tatyana Ruzsics

1 papers
Interpretability for Morphological Inflection: from Character-level Predictions to Subword-level Rules (2021.eacl-main)

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Challenge: Neural models for morphological inflection have recently attained very high results, but their interpretation remains challenging.
Approach: They propose a linguistically-motivated variant to the encoder-decoder model with attention that incorporates a character-level cross-attention mechanism and a self-attention module over substrings of the input.
Outcome: The proposed model performs well on three typologically-different languages and is highly interpretable.

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