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researcher

R. Frank

17 papers hereh-index 202k citations105 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1
  • middle author8
  • last author7

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.CL14
  • cmp-lg1
  • cs.CC1
  • cs.NE1
same name
  • R. Frank — 170 papers, h 45
  • R. Frank — 18 papers, h 11
  • R. Frank — 3 papers, h 5
  • R. Frank — 1 paper, h 44
  • R. Frank — 1 paper, h 2
  • R. Frank — 1 paper, h 6

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
19942023
most citedRevisiting the poverty of the stimulus: hierarchical generalization without a hierarchical bias in recurrent neural networks

63 citations · 110 across the 16 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

cs.CL2020★ 1 cited

Sequence-to-Sequence Networks Learn the Meaning of Reflexive Anaphora

Robert Frank, Jackson Petty

Reflexive anaphora present a challenge for semantic interpretation: their meaning varies depending on context in a way that appears to require abstract variables. Past work has rai…

cs.CL2020

Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling

Yiding Hao, Simon Mendelsohn, Rachel Sterneck +2

By positing a relationship between naturalistic reading times and information-theoretic surprisal, surprisal theory (Hale, 2001; Levy, 2008) provides a natural interface between la…

cs.CL2020★ 3 cited

Does syntax need to grow on trees? Sources of hierarchical inductive bias in sequence-to-sequence networks

R. Thomas McCoy, Robert Frank, Tal Linzen

Learners that are exposed to the same training data might generalize differently due to differing inductive biases. In neural network models, inductive biases could in theory arise…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.