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Representation of Linguistic Form and Function in Recurrent Neural Networks
Ákos Kádár
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Grzegorz Chrupała
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Afra Alishahi
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Paper Details:
Month: December
Year: 2017
Venue:
CL |
Citations
URL
Revisiting the Hierarchical Multiscale LSTM
Ákos Kádár
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Marc-Alexandre Côté
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Grzegorz Chrupała
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Afra Alishahi
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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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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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From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings
Johannes Bjerva
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Isabelle Augenstein
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Detecting Linguistic Characteristics of Alzheimer’s Dementia by Interpreting Neural Models
Sweta Karlekar
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Tong Niu
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Mohit Bansal
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Bridging CNNs, RNNs, and Weighted Finite-State Machines
Roy Schwartz
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Sam Thomson
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Noah A. Smith
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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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Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
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James Glass
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Language Production Dynamics with Recurrent Neural Networks
Jesús Calvillo
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Matthew Crocker
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‘Indicatements’ that character language models learn English morpho-syntactic units and regularities
Yova Kementchedjhieva
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Adam Lopez
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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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Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models
Avery Hiebert
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Cole Peterson
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Alona Fyshe
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Nishant Mehta
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Interpretable Textual Neuron Representations for NLP
Nina Poerner
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Benjamin Roth
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Hinrich Schütze
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https://spacy.io/
Field Of Study
Linguistic Trends
Embeddings
Task
Language Understanding
Tagging
Sentiment Analysis
Machine Translation
Language
English
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