Papers by Collin Baker

2 papers
Adverbs, Surprisingly (2023.starsem-1)

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Challenge: adverbs are the part of speech (POS) that has seen the least attention in computational linguistics due to its challenging nature.
Approach: They propose to use Frame Semantics to characterize word meaning to uncover systematic gaps in adverb accounts.
Outcome: The proposed approach can describe ambiguity, semantic roles, and null instantiation of adverbs.
Frame Shift Prediction (2022.lrec-1)

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Challenge: Frame shift is a cross-linguistic phenomenon in translation which results in corresponding pairs of linguistic material evoking different frames.
Approach: They propose a task to predict cross-linguistic frame-to-frame correspondence and propose auxiliary training to learn cross-lingual frame-by-frame correlation.
Outcome: The proposed task can learn cross-linguistic frame-to-frame correspondence and predict frame shifts in a Berkeley FrameNet-like configuration.

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