Papers
Interpretable Textual Neuron Representations for NLP
Nina Poerner, Benjamin Roth, Hinrich Schütze
Does it care what you asked? Understanding Importance of Verbs in Deep Learning QA System
Barbara Rychalska, Dominika Basaj, Anna Wróblewska et al.
How much should you ask? On the question structure in QA systems.
Barbara Rychalska, Dominika Basaj, Anna Wróblewska et al.
Learning Explanations from Language Data
David Harbecke, Robert Schwarzenberg, Christoph Alt
Context-Free Transductions with Neural Stacks
Yiding Hao, William Merrill, Dana Angluin et al.
Evaluating Grammaticality in Seq2seq Models with a Broad Coverage HPSG Grammar: A Case Study on Machine Translation
Johnny Wei, Khiem Pham, Brendan O’Connor et al.
An Analysis of Encoder Representations in Transformer-Based Machine Translation
Alessandro Raganato, Jörg Tiedemann
Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell
Pia Sommerauer, Antske Fokkens
Importance of Self-Attention for Sentiment Analysis
Gaël Letarte, Frédérik Paradis, Philippe Giguère et al.
Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models
Avery Hiebert, Cole Peterson, Alona Fyshe et al.
Iterative Recursive Attention Model for Interpretable Sequence Classification
Martin Tutek, Jan Šnajder
Under the Hood: Using Diagnostic Classifiers to Investigate and Improve how Language Models Track Agreement Information
Mario Giulianelli, Jack Harding, Florian Mohnert et al.
Closing Brackets with Recurrent Neural Networks
Natalia Skachkova, Thomas Trost, Dietrich Klakow
Do Language Models Understand Anything? On the Ability of LSTMs to Understand Negative Polarity Items
Jaap Jumelet, Dieuwke Hupkes
What do RNN Language Models Learn about Filler–Gap Dependencies?
Ethan Wilcox, Roger Levy, Takashi Morita et al.
Learning and Evaluating Sparse Interpretable Sentence Embeddings
Valentin Trifonov, Octavian-Eugen Ganea, Anna Potapenko et al.
Introspection for convolutional automatic speech recognition
Andreas Krug, Sebastian Stober
An Operation Sequence Model for Explainable Neural Machine Translation
Felix Stahlberg, Danielle Saunders, Bill Byrne
Analysing the potential of seq-to-seq models for incremental interpretation in task-oriented dialogue
Dieuwke Hupkes, Sanne Bouwmeester, Raquel Fernández
‘Indicatements’ that character language models learn English morpho-syntactic units and regularities
Yova Kementchedjhieva, Adam Lopez
Interpreting Neural Networks with Nearest Neighbors
Eric Wallace, Shi Feng, Jordan Boyd-Graber
Interpretable Neural Architectures for Attributing an Ad’s Performance to its Writing Style
Reid Pryzant, Sugato Basu, Kazoo Sone
Evaluating the Ability of LSTMs to Learn Context-Free Grammars
Luzi Sennhauser, Robert Berwick
Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks
João Loula, Marco Baroni, Brenden Lake