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“Why Should I Trust You?”: Explaining the Predictions of Any Classifier
Marco Ribeiro
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Sameer Singh
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Carlos Guestrin
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
NAACL |
Citations
URL
Topic or Style? Exploring the Most Useful Features for Authorship Attribution
Yunita Sari
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Mark Stevenson
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Andreas Vlachos
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Pathologies of Neural Models Make Interpretations Difficult
Shi Feng
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Eric Wallace
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Alvin Grissom II
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Mohit Iyyer
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Pedro Rodriguez
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Jordan Boyd-Graber
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Tell Me Why: Using Question Answering as Distant Supervision for Answer Justification
Rebecca Sharp
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Mihai Surdeanu
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Peter Jansen
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Marco A. Valenzuela-Escárcega
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Peter Clark
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Michael Hammond
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Comparing Automatic and Human Evaluation of Local Explanations for Text Classification
Dong Nguyen
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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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Semantically Equivalent Adversarial Rules for Debugging NLP models
Marco Tulio Ribeiro
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Sameer Singh
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Carlos Guestrin
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Obfuscating Gender in Social Media Writing
Sravana Reddy
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Kevin Knight
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Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion
Yelong Shen
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Po-Sen Huang
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Ming-Wei Chang
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Jianfeng Gao
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Interpreting Neural Networks with Nearest Neighbors
Eric Wallace
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Shi Feng
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Jordan Boyd-Graber
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An Operation Sequence Model for Explainable Neural Machine Translation
Felix Stahlberg
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Danielle Saunders
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Bill Byrne
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https://github
Field Of Study
Task
Sentiment Analysis
Language
English
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