What can linguistics and deep learning contribute to each other

Tal Linzen

Type: Preprint

Publication Date: 2018-09-11

Citations: 5

Locations

arXiv (Cornell University) - View

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+	CxGBERT: BERT meets Construction Grammar.	2020	Harish Tayyar Madabushi Laurence Romain Dagmar Divjak Petar Milin
+	Evaluating computational models of infant phonetic learning across languages	2020	Yevgen Matusevych Thomas Schatz Herman Kamper Naomi H. Feldman Sharon Goldwater
+	Do RNNs learn human-like abstract word order preferences?	2018	Richard Futrell Roger Lévy

Works Cited by This (12)

Action	Title	Year	Authors
+ PDF Chat	Probabilistic Top-Down Parsing and Language Modeling	2001	Brian Roark
+ PDF Chat	Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies	2016	Tal Linzen Emmanuel Dupoux Yoav Goldberg
+	Revisiting the poverty of the stimulus: hierarchical generalization without a hierarchical bias in recurrent neural networks	2018	R. Thomas McCoy Robert Frank Tal Linzen
+	The Importance of Being Recurrent for Modeling Hierarchical Structure	2018	Ke Tran Arianna Bisazza Christof Monz
+	Finding Syntax in Human Encephalography with Beam Search.	2018	John Hale Chris Dyer Adhiguna Kuncoro Jonathan Brennan
+	On the Practical Computational Power of Finite Precision RNNs for Language Recognition	2018	Gail Garfinkel Weiss Yoav Goldberg Eran Yahav
+	Assessing Composition in Sentence Vector Representations	2018	Allyson Ettinger Ahmed Elgohary Colin Phillips Philip Resnik
+	Distinct patterns of syntactic agreement errors in recurrent networks and humans	2018	Tal Linzen Brian Leonard
+ PDF Chat	Targeted Syntactic Evaluation of Language Models	2018	Rebecca Marvin Tal Linzen
+ PDF Chat	Recurrent Neural Network Grammars	2016	Chris Dyer Adhiguna Kuncoro Miguel Ballesteros Noah A. Smith