Afterword The impact of “The cognitive basis for linguistic structures”

By Michael K. Tanenhaus. 2013

503 citations recorded by the source corpus.

Subfields: Natural Language Processing, Linguistics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

1. Tal Linzen
2. Samuel R. Bowman
3. Ellie Pavlick
4. Peng Qian
5. Roger Levy
6. Ethan Gotlieb Wilcox
7. R. Thomas McCoy
8. Yonatan Belinkov

In Linguistics

1. Roger Levy
2. Peng Qian
3. Gina R. Kuperberg
4. Florian Jaeger
5. Jon Gauthier
6. Tal Linzen
7. Richard Futrell
8. E. Dąbrowska

Citations in the corpus

• Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference (2019, background): “Several of our subcases in the subsequence heuristic are inspired by psycholinguistics research on garden path sentences (Bever, 1970; Frazier and Rayner, 1982) and local coherence (Tabor et al., 2004); these works have similar aims as our subsequence heuristic but are concerned with the…”
• RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency (2018, background): “In effect, the comprehender is “led down the garden path” by a locally likely but ultimately incorrect parse (Bever, 1970).”
• Neural language models as psycholinguistic subjects: Representations of syntactic state (2019, background): “In effect, the comprehender is “led down the garden path” by a locally likely but ultimately incorrect parse (Bever, 1970).”
• Different speakers, different grammars: Individual differences in native language attainment (2012, methodology): “For instance, applying the NVN strategy (Noun-Verb-Noun = Agent-Verb-Patient – see Bever 1970, Townsend and Bever 2001) will enable the comprehender to assign the correct interpretation to most English sentences.”
• What do we mean by prediction in language comprehension? (2015, background): “…that the parser predicted just one possible structure of the sentence – usually the “simplest” structure (which, interestingly, was often the most frequent and therefore the most likely structure, see Ferreira & Clifton, 1986; Frazier, 1978; with aspects of this idea going back to Bever, 1970).”
• Like a Baby: Visually Situated Neural Language Acquisition (2018, unknown): “In the garden path sen-5133 tence “The horse raced past the barn fell”, the final word “fell” forces the reader to revise their initial interpretation of “raced” as the active verb (Bever, 1970).”
• A Systematic Assessment of Syntactic Generalization in Neural Language Models (2020, background): “References Bever (1970); Ferreira and Clifton (1986); Trueswell et al. (1994); van Schijndel and Linzen (2018); Futrell et al. (2019)”