Young-Bum Kim
31 papers · 2011–2021 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Machine Learning
(14)
Deep Learning
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Learning Types Β· Machine Learning
(9)
Natural Language Processing
(8)
Artificial Intelligence
(7)
Applications
(7)
Core Methods
(7)
Learning Types Β· Deep Learning
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domain classification
(6)
neural network
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transfer learning
(5)
domain adaptation
(5)
natural language understanding
(4)
attention mechanism
(3)
intent classification
(3)
few-shot learning
(2)
sequence labeling
(2)
dialogue system
(2)
spoken language understanding
(2)
slot filling
(2)
cross-lingual transfer
(1)
data augmentation
(1)
self-supervised learning
(1)
multi-task learning
(1)
reinforcement learning
(1)
multi-label classification
(1)
ensemble learning
(1)
semi-supervised learning
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Papers
A Scalable Framework for Learning From Implicit User Feedback to Improve Natural Language Understanding in Large-Scale Conversational AI Systems
EMNLP 2021
AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation
ACL 2021
Learning Slice-Aware Representations with Mixture of Attentions
ACL 2021
Self-Supervised Contrastive Learning for Efficient User Satisfaction Prediction in Conversational Agents
NAACL 2021
Continuous Learning for Large-scale Personalized Domain Classification
NAACL 2019
Learning Context-dependent Label Permutations for Multi-label Classification
ICML 2019
Locale-agnostic Universal Domain Classification Model in Spoken Language Understanding
NAACL 2019
A Scalable Neural Shortlisting-Reranking Approach for Large-Scale Domain Classification in Natural Language Understanding
NAACL 2018
Character-Level Feature Extraction with Densely Connected Networks
COLING 2018
Efficient Large-Scale Neural Domain Classification with Personalized Attention
ACL 2018
Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates
Interspeech 2018
Supervised Domain Enablement Attention for Personalized Domain Classification
EMNLP 2018
Adversarial Adaptation of Synthetic or Stale Data
ACL 2017
Cross-Lingual Transfer Learning for POS Tagging without Cross-Lingual Resources
EMNLP 2017
Domain Attention with an Ensemble of Experts
ACL 2017
Domainless Adaptation by Constrained Decoding on a Schema Lattice
COLING 2016
Drop-out Conditional Random Fields for Twitter with Huge Mined Gazetteer
NAACL 2016
Frustratingly Easy Neural Domain Adaptation
COLING 2016
Natural Language Model Re-usability for Scaling to Different Domains
EMNLP 2016
Scalable Semi-Supervised Query Classification Using Matrix Sketching
ACL 2016
Task Completion Platform: A self-serve multi-domain goal oriented dialogue platform
NAACL 2016
Compact Lexicon Selection with Spectral Methods
ACL 2015
New Transfer Learning Techniques for Disparate Label Sets
ACL 2015
Part-of-speech Taggers for Low-resource Languages using CCA Features
EMNLP 2015
Pre-training of Hidden-Unit CRFs
ACL 2015
Weakly Supervised Slot Tagging with Partially Labeled Sequences from Web Search Click Logs
NAACL 2015
Training a Korean SRL System with Rich Morphological Features
ACL 2014
Optimal Data Set Selection: An Application to Grapheme-to-Phoneme Conversion
NAACL 2013
Unsupervised Consonant-Vowel Prediction over Hundreds of Languages
ACL 2013
Universal Grapheme-to-Phoneme Prediction Over Latin Alphabets
EMNLP 2012
Universal Morphological Analysis using Structured Nearest Neighbor Prediction
EMNLP 2011