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WS - 2018
Total Papers:- 1313
Total Papers accross all years:- 21866
Total Citations :- 1162
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Interpreting Neural Networks with Nearest Neighbors
Eric Wallace |
Shi Feng |
Jordan Boyd-Graber |
‘Indicatements’ that character language models learn English morpho-syntactic units and regularities
Yova Kementchedjhieva |
Adam Lopez |
Analysing the potential of seq-to-seq models for incremental interpretation in task-oriented dialogue
Dieuwke Hupkes |
Sanne Bouwmeester |
Raquel Fernández |
An Operation Sequence Model for Explainable Neural Machine Translation
Felix Stahlberg |
Danielle Saunders |
Bill Byrne |
Introspection for convolutional automatic speech recognition
Andreas Krug |
Sebastian Stober |
Learning and Evaluating Sparse Interpretable Sentence Embeddings
Valentin Trifonov |
Octavian-Eugen Ganea |
Anna Potapenko |
Thomas Hofmann |
What do RNN Language Models Learn about Filler–Gap Dependencies?
Ethan Wilcox |
Roger Levy |
Takashi Morita |
Richard Futrell |
Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items
Jaap Jumelet |
Dieuwke Hupkes |
Closing Brackets with Recurrent Neural Networks
Natalia Skachkova |
Thomas Trost |
Dietrich Klakow |
Iterative Recursive Attention Model for Interpretable Sequence Classification
Martin Tutek |
Jan Šnajder |
Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models
Avery Hiebert |
Cole Peterson |
Alona Fyshe |
Nishant Mehta |
Importance of Self-Attention for Sentiment Analysis
Gaël Letarte |
Frédérik Paradis |
Philippe Giguère |
François Laviolette |
Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell
Pia Sommerauer |
Antske Fokkens |
An Analysis of Encoder Representations in Transformer-Based Machine Translation
Alessandro Raganato |
Jörg Tiedemann |
Evaluating Grammaticality in Seq2seq Models with a Broad Coverage HPSG Grammar: A Case Study on Machine Translation
Johnny Wei |
Khiem Pham |
Brendan O’Connor |
Brian Dillon |
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