Papers by Pierfrancesco Tommasino

1 papers
KERMIT: Complementing Transformer Architectures with Encoders of Explicit Syntactic Interpretations (2020.emnlp-main)

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Challenge: Syntactic parsers are losing their centrality in downstream tasks due to the success of large-scale textual representation learners.
Approach: They propose to embed symbolic syntactic parse trees into artificial neural networks to visualize how syntax is used in inference.
Outcome: The proposed encoder can visualize how syntax is used in inference.

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