Ryan Cotterell

3 paper cards in Mova's library · 2017–2023

Ryan Cotterell wrote 3 of the papers Mova reads, in 2017–2023, most of them on Dependency parsing, Part-of-speech tagging; often with Afra Amini, Chaitanya Malaviya, Christo Kirov.

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Ideas Mova took (1)

From the ideas ledger: an idea tried, kept or queued, or measured with no gain, and what it gave.

measured, no gain — Tag-conditioned lemma rules in en/src/morph.rs: when the dictionary has several candidates or a suffix rule is ambiguous, choose the rule with the UPOS and FEATS predicted by en/src/ud.rs; measure lemma accuracy on EWT dev, reporting ambiguous tokens (more… (A Simple Joint Model for Improved Contextual Neural… · lemma by predicted UPOS and relation: EWT dev lemmas 96.67 -> 96.68 (3 tokens); ambiguous forms 97.66% vs the rest 95.67% (split kept in ud-eval EN_UD_DEBUG)…)

Hexatagging: Projective Dependency Parsing as Tagging (2023)
The paper turns projective dependency parsing into tagging. Each word receives a "hexatag" from a finite set that encodes the stack actions of a binarized version of its tree, and all words are tagged in parallel with two linear projections over a pretrained encoder. Because validity depends only on the number of…
A Simple Joint Model for Improved Contextual Neural Lemmatization (2019)
Lemmatization maps an inflected form to its citation form, and the right lemma often depends on context, as "running" is a verb in one sentence and a noun in another.
A Rich Morphological Tagger for English: Exploring the Cross-Linguistic Tradeoff Between Morphology and Syntax (2017)
The question is whether English, a morphologically poor language, carries in its syntax the same meanings that Czech marks with inflection.