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10/13/2022
Constructing Natural Language Explanations via Saliency Map Verbalization
Saliency maps can explain a neural model's prediction by identifying imp...
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08/31/2021
Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools
In the language domain, as in other domains, neural explainability takes...
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03/31/2021
Defx at SemEval-2020 Task 6: Joint Extraction of Concepts and Relations for Definition Extraction
Definition Extraction systems are a valuable knowledge source for both h...
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03/29/2021
Efficient Explanations from Empirical Explainers
Amid a discussion about Green AI in which we see explainability neglecte...
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07/21/2020
Pattern-Guided Integrated Gradients
Integrated Gradients (IG) and PatternAttribution (PA) are two establishe...
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07/07/2020
Evaluating German Transformer Language Models with Syntactic Agreement Tests
Pre-trained transformer language models (TLMs) have recently refashioned...
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03/29/2020
Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling
We explore to what extent knowledge about the pre-trained language model...
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09/24/2019
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers
Representations in the hidden layers of Deep Neural Networks (DNN) are o...
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04/02/2019
Neural Vector Conceptualization for Word Vector Space Interpretation
Distributed word vector spaces are considered hard to interpret which hi...
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03/28/2019
Train, Sort, Explain: Learning to Diagnose Translation Models
Evaluating translation models is a trade-off between effort and detail. ...
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08/13/2018
Learning Explanations from Language Data
PatternAttribution is a recent method, introduced in the vision domain, ...
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04/17/2014