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Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Tal Linzen
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Emmanuel Dupoux
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Yoav Goldberg
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Paper Details:
Year: 2016
Venue:
TACL |
Citations
URL
Distance-Free Modeling of Multi-Predicate Interactions in End-to-End Japanese Predicate-Argument Structure Analysis
Yuichiroh Matsubayashi
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Kentaro Inui
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RNN Simulations of Grammaticality Judgments on Long-distance Dependencies
Shammur Absar Chowdhury
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Roberto Zamparelli
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Assessing Composition in Sentence Vector Representations
Allyson Ettinger
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Ahmed Elgohary
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Colin Phillips
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Philip Resnik
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Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Diego Marcheggiani
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Ivan Titov
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Graph Convolutional Encoders for Syntax-aware Neural Machine Translation
Joost Bastings
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Ivan Titov
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Wilker Aziz
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Diego Marcheggiani
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Khalil Sima’an
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Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation
Adam Poliak
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Aparajita Haldar
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Rachel Rudinger
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J. Edward Hu
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Ellie Pavlick
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Aaron Steven White
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Benjamin Van Durme
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Targeted Syntactic Evaluation of Language Models
Rebecca Marvin
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Tal Linzen
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Dissecting Contextual Word Embeddings: Architecture and Representation
Matthew Peters
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Mark Neumann
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Luke Zettlemoyer
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Wen-tau Yih
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Multi-Source Syntactic Neural Machine Translation
Anna Currey
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Kenneth Heafield
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Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules?
Fréderic Godin
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Kris Demuynck
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Joni Dambre
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Wesley De Neve
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Thomas Demeester
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Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures
Gongbo Tang
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Mathias Müller
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Annette Rios
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Rico Sennrich
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A Neural Model of Adaptation in Reading
Marten van Schijndel
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Tal Linzen
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The Importance of Being Recurrent for Modeling Hierarchical Structure
Ke Tran
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Arianna Bisazza
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Christof Monz
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Interpretable Emoji Prediction via Label-Wise Attention LSTMs
Francesco Barbieri
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Luis Espinosa-Anke
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Jose Camacho-Collados
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Steven Schockaert
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Horacio Saggion
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Comparing Character-level Neural Language Models Using a Lexical Decision Task
Gaël Le Godais
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Tal Linzen
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Emmanuel Dupoux
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Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks
Yonatan Belinkov
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Lluís Màrquez
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Hassan Sajjad
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Nadir Durrani
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Fahim Dalvi
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James Glass
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Capturing Long-range Contextual Dependencies with Memory-enhanced Conditional Random Fields
Fei Liu
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Timothy Baldwin
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Trevor Cohn
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Exploring the Syntactic Abilities of RNNs with Multi-task Learning
Émile Enguehard
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Yoav Goldberg
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Tal Linzen
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Encoding of phonology in a recurrent neural model of grounded speech
Afra Alishahi
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Marie Barking
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Grzegorz Chrupała
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A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling
Diego Marcheggiani
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Anton Frolov
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Ivan Titov
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Vectorial Semantic Spaces Do Not Encode Human Judgments of Intervention Similarity
Paola Merlo
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Francesco Ackermann
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Colorless Green Recurrent Networks Dream Hierarchically
Kristina Gulordava
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Piotr Bojanowski
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Edouard Grave
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Tal Linzen
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Marco Baroni
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On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference
Adam Poliak
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Yonatan Belinkov
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James Glass
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Benjamin Van Durme
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Semi-supervised sequence tagging with bidirectional language models
Matthew Peters
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Waleed Ammar
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Chandra Bhagavatula
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Russell Power
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Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context
Urvashi Khandelwal
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He He
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Peng Qi
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Dan Jurafsky
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LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better
Adhiguna Kuncoro
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Chris Dyer
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John Hale
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Dani Yogatama
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Stephen Clark
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Phil Blunsom
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What you can cram into a single $&!#* vector: Probing sentence embeddings for linguistic properties
Alexis Conneau
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German Kruszewski
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Guillaume Lample
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Loïc Barrault
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Marco Baroni
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Finding syntax in human encephalography with beam search
John Hale
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Chris Dyer
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Adhiguna Kuncoro
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Jonathan Brennan
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Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions
Eric Wallace
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Jordan Boyd-Graber
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Learning Structured Text Representations
Yang Liu
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Mirella Lapata
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Scheduled Multi-Task Learning: From Syntax to Translation
Eliyahu Kiperwasser
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Miguel Ballesteros
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Do latent tree learning models identify meaningful structure in sentences?
Adina Williams
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Andrew Drozdov
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Samuel R. Bowman
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Recurrent Neural Networks in Linguistic Theory: Revisiting Pinker and Prince (1988) and the Past Tense Debate
Christo Kirov
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Ryan Cotterell
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Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
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James Glass
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Evaluating the morphological competence of Machine Translation Systems
Franck Burlot
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François Yvon
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Assessing the Stylistic Properties of Neurally Generated Text in Authorship Attribution
Enrique Manjavacas
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Jeroen De Gussem
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Walter Daelemans
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Mike Kestemont
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The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models
Noah Weber
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Leena Shekhar
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Niranjan Balasubramanian
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Exploring Word Sense Disambiguation Abilities of Neural Machine Translation Systems (Non-archival Extended Abstract)
Rebecca Marvin
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Philipp Koehn
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Inducing Grammars with and for Neural Machine Translation
Yonatan Bisk
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Ke Tran
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Unsupervised Source Hierarchies for Low-Resource Neural Machine Translation
Anna Currey
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Kenneth Heafield
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LSTMs Exploit Linguistic Attributes of Data
Nelson F. Liu
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Omer Levy
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Roy Schwartz
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Chenhao Tan
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Noah A. Smith
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Jump to better conclusions: SCAN both left and right
Joost Bastings
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Marco Baroni
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Jason Weston
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Kyunghyun Cho
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Douwe Kiela
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Can LSTM Learn to Capture Agreement? The Case of Basque
Shauli Ravfogel
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Yoav Goldberg
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Francis Tyers
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What do RNN Language Models Learn about Filler–Gap Dependencies?
Ethan Wilcox
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Roger Levy
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Takashi Morita
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Richard Futrell
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Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items
Jaap Jumelet
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Dieuwke Hupkes
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Closing Brackets with Recurrent Neural Networks
Natalia Skachkova
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Thomas Trost
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Dietrich Klakow
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Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information
Mario Giulianelli
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Jack Harding
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Florian Mohnert
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Dieuwke Hupkes
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Willem Zuidema
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Evaluating Grammaticality in Seq2seq Models with a Broad Coverage HPSG Grammar: A Case Study on Machine Translation
Johnny Wei
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Khiem Pham
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Brendan O’Connor
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Brian Dillon
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Context-Free Transductions with Neural Stacks
Yiding Hao
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William Merrill
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Dana Angluin
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Robert Frank
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Noah Amsel
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Andrew Benz
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Simon Mendelsohn
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Probing sentence embeddings for structure-dependent tense
Geoff Bacon
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Terry Regier
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Extracting Syntactic Trees from Transformer Encoder Self-Attentions
David Mareček
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Rudolf Rosa
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Does Syntactic Knowledge in Multilingual Language Models Transfer Across Languages?
Prajit Dhar
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Arianna Bisazza
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Can Entropy Explain Successor Surprisal Effects in Reading?
Marten van Schijndel
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Tal Linzen
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Do RNNs learn human-like abstract word order preferences?
Richard Futrell
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Roger P. Levy
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Verb Argument Structure Alternations in Word and Sentence Embeddings
Katharina Kann
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Alex Warstadt
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Adina Williams
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Samuel R. Bowman
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https://github.com/tensorflow/models/
http://itre.cis.upenn.edu/
Field Of Study
Linguistic Trends
Embeddings
Task
Machine Translation
Language
English
Japanese
Child Language
Dataset
Child Language
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