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1910.00163
Cited By
Specializing Word Embeddings (for Parsing) by Information Bottleneck
1 October 2019
Xiang Lisa Li
Jason Eisner
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Papers citing
"Specializing Word Embeddings (for Parsing) by Information Bottleneck"
41 / 41 papers shown
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Protecting Your LLMs with Information Bottleneck
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Decoding Continuous Character-based Language from Non-invasive Brain Recordings
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When does word order matter and when doesn't it?
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103
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Learning Intrinsic Dimension via Information Bottleneck for Explainable Aspect-based Sentiment Analysis
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28 Feb 2024
Enhancing Phrase Representation by Information Bottleneck Guided Text Diffusion Process for Keyphrase Extraction
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17 Aug 2023
Span-based Named Entity Recognition by Generating and Compressing Information
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Makoto Miwa
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10 Feb 2023
Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality
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Rationalizing Predictions by Adversarial Information Calibration
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A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck
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109
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27 Aug 2022
Text Revision by On-the-Fly Representation Optimization
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Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging
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Hierarchical Interpretation of Neural Text Classification
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Quantifying the Task-Specific Information in Text-Based Classifications
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PAC-Bayes Information Bottleneck
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Empirical Evaluation of Pre-trained Transformers for Human-Level NLP: The Role of Sample Size and Dimensionality
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Linguistic Dependencies and Statistical Dependence
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Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification
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Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information
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Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration
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Exploring Pair-Wise NMT for Indian Languages
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Deep Clustering of Text Representations for Supervision-free Probing of Syntax
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Haoyue Shi
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Unsupervised Distillation of Syntactic Information from Contextualized Word Representations
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Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers
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Improving Robustness and Generality of NLP Models Using Disentangled Representations
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Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An Information-Theoretic Framework
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MICE: Mining Idioms with Contextual Embeddings
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Building Interpretable Interaction Trees for Deep NLP Models
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The Dual Information Bottleneck
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Finding Universal Grammatical Relations in Multilingual BERT
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Emergence of Syntax Needs Minimal Supervision
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Pre-trained Models for Natural Language Processing: A Survey
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Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning
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The Convex Information Bottleneck Lagrangian
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