The Acquisition of Anaphora by Simple Recurrent Networks
By Robert Frank, Donald W. Mathis, William Badecker. 2013
20 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Cognitive Neuroscience, Language and Linguistics, Model Architectures, Computational Linguistics & Semantics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Yonatan Belinkov
- James R. Glass
- Tal Linzen
- Yoav Goldberg
- Grzegorz Chrupała
- Afra Alishahi
- Ellie Pavlick
- Samuel R. Bowman
In Cognitive Neuroscience
- Tal Linzen
- Yonatan Belinkov
- Emmanuel Dupoux
- Afra Alishahi
- James R. Glass
- Yoav Goldberg
- Grzegorz Chrupała
- Allyson Ettinger
In Language and Linguistics
In Model Architectures
- Yonatan Belinkov
- James R. Glass
- Yoav Goldberg
- Tal Linzen
- Emmanuel Dupoux
- Grzegorz Chrupała
- Afra Alishahi
- Marie Barking
In Computational Linguistics & Semantics
Citations in the corpus
- Analysis Methods in Neural Language Processing: A Survey (2018, methodology): “Similar analyses were later applied to other networks and tasks (Harris, 1990; Niklasson and Linåker, 2000; Pollack, 1990; Frank et al., 2013).”
- Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies (2016, background): “Frank et al. (2013) studied the acquisition of anaphora coreference by SRNs, again in a miniature language.”
- Encoding of phonology in a recurrent neural model of grounded speech (2017, background): “There are a small number of studies which focus on the syntax and/or semantics in the context of neural models of written language (e.g. Elman, 1991; Frank et al., 2013; K´ad´ar et al., 2016; Li et al., 2016a; Adi et al., 2016; Li et al., 2016b; Linzen et al., 2016).”