Fetching the paper…
Reading the bibliography…
Recurrent neural networks (RNNs) have reached striking performance in many natural language processing tasks.
Remarks on nominalization
Noam Chomsky. 1970 · 1970
Earlier work this paper cites.
On the Definition of Word
Anna-Maria Di Sciullo and Edwin Williams. 1987 · 1987
Earlier work this paper cites.
Recurrent neural networks in linguistic theory: Revisiting Pinker and Prince (1988) and the past tense debate
Christo Kirov and Ryan Cotterell. 2018 · 1988
Earlier work this paper cites.
Finding structure in time
Jeffrey Elman. 1990 · 1990
Earlier work this paper cites.
The lexical integrity principle: Evidence from Bantu
Joan Bresnan and Sam Mchombo. 1995 · 1995
Earlier work this paper cites.
Distributional regularity and phonotactic constraints are useful for segmentation
Michael Brent and Timothy Cartwright. 1996 · 1996
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
Twistin’ the night away
Ray Jackendoff. 1997 · 1997
Earlier work this paper cites.
Learning to segment speech using multiple cues: A connectionist model
Morten Christiansen, Allen Joseh, and Mark Seidenberg. 1998 · 1998
Earlier work this paper cites.
Improvements in part-of-speech tagging with an application to german
Helmut Schmid. 1999 · 1999
Earlier work this paper cites.
The TIGER treebank
Sabine Brants, Stefanie Dipper, Silvia Hansen, Wolfgang Lezius, and George Smith. 2002 · 2002
Earlier work this paper cites.
Word: A cross-linguistic typology
Robert Dixon and Alexandra Aikhenvald, editors. 2002 · 2002
Earlier work this paper cites.
Foundations of Language: Brain, Meaning, Grammar, Evolution
Ray Jackendoff. 2002 · 2002
Earlier work this paper cites.
Infant sensitivity to distributional information can affect phonetic discrimination
Jessica Maye, Janet Werker, and LouAnn Gerken. 2002 · 2002
Earlier work this paper cites.
Syntactic Theory: A Formal Introduction
Ivan Sag, Thomas Wasow, and Emily Bender. 2003 · 2003
Earlier work this paper cites.
Constructing a Language: A Usage-Based Theory of Language Acquisition
Michael Tomasello. 2003 · 2003
Earlier work this paper cites.
Cognitive Linguistics
William Croft and Alan Cruse. 2004 · 2004
Earlier work this paper cites.
Early language acquisition: Cracking the speech code
Patricia Kuhl. 2004 · 2004
Earlier work this paper cites.
Multiple-cue integration in language acquisition: A connectionist model of speech segmentation and rule-like behavior
Morten Christiansen, Christopher Conway, and Suzanne Curtin. 2005 · 2005
Earlier work this paper cites.
Constructions at work: The nature of generalization in language
Adele Goldberg. 2005 · 2005
Earlier work this paper cites.
Minimalist syntax revisited
Andrew Radford. 2006 · 2006
Earlier work this paper cites.
The proactive brain: using analogies and associations to generate predictions
Moshe Bar. 2007 · 2007
Earlier work this paper cites.
Dumping lexicalism
Edwin Williams. 2007 · 2007
Earlier work this paper cites.
A Bayesian framework for word segmentation: Exploring the effects of context
Sharon Goldwater, Thomas L. Griffiths, and Mark Johnson. 2009 · 2009
Earlier work this paper cites.
The prosodic word is not universal, but emergent
René Schiering, Balthasar Bickel, and Kristine Hildebrandt. 2010 · 2010
Earlier work this paper cites.
The indeterminacy of word segmentation and the nature of morphology and syntax
Martin Haspelmath. 2011 · 2011
Cited alongside, same era.
Subword language modeling with neural networks
Tomas Mikolov, Ilya Sutskever, Anoop Deoras, Hai-Son Le, Stefan Kombrink, and Jan Cernocký. 2011 · 2011
Cited alongside, same era.
Generating text with recurrent neural networks
Ilya Sutskever, James Martens, and Geoffrey Hinton. 2011 · 2011
Cited alongside, same era.
The Microsoft Research sentence completion challenge
Geoffrey Zweig and Christopher Burges. 2011 · 2011
Cited alongside, same era.
Statistical language models based on neural networks
Tomas Mikolov. 2012 · 2012
Cited alongside, same era.
Computational approaches to sentence completion
Geoffrey Zweig, John C Platt, Christopher Meek, Christopher JC Burges, Ainur Yessenalina, and Qiang Liu. 2012 · 2012
Cited alongside, same era.
Fine-grained analysis of sentence embeddings using auxiliary prediction tasks
Yossi Adi, Einat Kermany, Yonatan Belinkov, Ofer Lavi, and Yoav Goldberg. 2017 · 2017
Later among the works it cites.
Encoding of phonology in a recurrent neural model of grounded speech
Afra Alishahi, Marie Barking, and Grzegorz Chrupała. 2017 · 2017
Later among the works it cites.
What do neural machine translation models learn about morphology?
Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, Hassan Sajjad, and James Glass. 2017 · 2017
Later among the works it cites.
The ‘word’ in polysynthetic languages: Phonological and syntactic challenges
Balthasar Bickel and Fernando Zúñiga. 2017 · 2017
Later among the works it cites.
Neural Network Methods for Natural Language Processing
Yoav Goldberg. 2017 · 2017
Later among the works it cites.
Representation of linguistic form and function in recurrent neural networks
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
The acquisition of anaphora by simple recurrent networks
Robert Frank, Donald Mathis, and William Badecker. 2013 · 2013
Cited alongside, same era.
Universal dependency annotation for multilingual parsing
Ryan McDonald, Joakim Nivre, Yvonne Quirmbach-Brundage, Yoav Goldberg, Dipanjan Das, Kuzman Ganchev, Keith Hall, Slav Petrov, Hao Zhang, Oscar Täckström, et al. 2013 · 2013
Cited alongside, same era.
Generating sequences with recurrent neural networks
Alex Graves. 2014 · 2014
Cited alongside, same era.
Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le. 2014 · 2014
Cited alongside, same era.
Alternative structures for character-level RNNs
Piotr Bojanowski, Armand Joulin, and Tomas Mikolov. 2016 · 2016
Cited alongside, same era.
Lexical-Functional Syntax, 2nd ed
Joan Bresnan, Ash Asudeh, Ida Toivonen, and Stephen Wechsler. 2016 · 2016
Cited alongside, same era.
Àkos Kàdàr, Grzegorz Chrupała, and Afra Alishahi. 2017 · 2017
Later among the works it cites.
Grammaticality, acceptability, and probability: A probabilistic view of linguistic knowledge
Jey Han Lau, Alexander Clark, and Shalom Lappin. 2017 · 2017
Later among the works it cites.
Fully character-level neural machine translation without explicit segmentation
Jason Lee, Kyunghyun Cho, and Thomas Hofmann. 2017 · 2017
Later among the works it cites.
Learning to generate reviews and discovering sentiment
Alec Radford, Rafal Józefowicz, and Ilya Sutskever. 2017 · 2017
Later among the works it cites.
Nonsymbolic text representation
Hinrich Schütze. 2017 · 2017
Later among the works it cites.
How grammatical is character-level neural machine translation? assessing MT quality with contrastive translation pairs
Rico Sennrich. 2017 · 2017
Later among the works it cites.
Revisiting character-based neural machine translation with capacity and compression
Colin Cherry, George Foster, Ankur Bapna, Orhan Firat, and Wolfgang Macherey. 2018 · 2018
Later among the works it cites.
What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties
Alexis Conneau, Germán Kruszewski, Guillaume Lample, Loïc Barrault, and Marco Baroni. 2018 · 2018
Later among the works it cites.
Are all languages equally hard to language-model?
Ryan Cotterell, Sebastian J Mielke, Jason Eisner, and Brian Roark. 2018 · 2018
Later among the works it cites.
Assessing composition in sentence vector representations
Allyson Ettinger, Ahmed Elgohary, Colin Phillips, and Philip Resnik. 2018 · 2018
Later among the works it cites.
Language modeling for morphologically rich languages: Character-aware modeling for word-level prediction
Daniela Gerz, Ivan Vulić, Edoardo Maria Ponti, Jason Naradowsky, Roi Reichart, and Anna Korhonen. 2018 · 2018
Later among the works it cites.
Explaining character-aware neural networks for word-level prediction: Do they discover linguistic rules?
Fréderic Godin, Kris Demuynck, Joni Dambre, Wesley De Neve, and Thomas Demeester. 2018 · 2018
Later among the works it cites.
Colorless green recurrent networks dream hierarchically
Kristina Gulordava, Piotr Bojanowski, Edouard Grave, Tal Linzen, and Marco Baroni. 2018 · 2018
Later among the works it cites.
Visualisation and ‘diagnostic classifiers’ reveal how recurrent and recursive neural networks process hierarchical structure
Dieuwke Hupkes, Sara Veldhoen, and Willem Zuidema. 2018 · 2018
Later among the works it cites.
‘Indicatements’ that character language models learn English morpho-syntactic units and regularities
Yova Kementchedjhieva and Adam Lopez. 2018 · 2018
Later among the works it cites.
Proceedings of the EMNLP BlackboxNLP Workshop
Tal Linzen, Grzegorz Chrupała, and Afra Alishahi, editors. 2018 · 2018
Later among the works it cites.
An analysis of neural language modeling at multiple scales
Stephen Merity, Nitish Shirish Keskar, and Richard Socher. 2018 · 2018
Later among the works it cites.
Generative linguistics and neural networks at 60: Foundation, friction, and fusion
Joe Pater. 2018 · 2018
Later among the works it cites.
mit (Adverb)
Dudenredaktion. 2019 · 2019
Closest in time.
Revisiting the poverty of the stimulus: Hierarchical generalization without a hierarchical bias in recurrent neural networks
Thomas McCoy, Robert Frank, and Tal Linzen. 2018 · 2098
Closest in time.