Jaime Carbonell
46 papers · 2004–2021 · 14 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.
Achievements
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πΊοΈ Taxonomy Completionist (67) π Academic Marathon Β· Full π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Keyword Trendsetter Combo
(3)
π
Keyword Champion
π§
Keyword Pioneer
π
Conference Pioneer
π
Trend Setter
β‘
Prolific Year Β· Prolific
ποΈ
Keyword Collector
(182)
π₯
Unstoppable Β· Silver
π
Renaissance Researcher
(5)
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(27)
Learning Types Β· Machine Learning
(19)
Natural Language Processing
(16)
Artificial Intelligence
(12)
Understanding
(11)
Deep Learning
(10)
Core Methods
(9)
Application Areas
(8)
Learning Paradigms
(8)
Learning Types Β· Deep Learning
(7)
Optimization & Theory
(6)
Resources & Methods
(6)
Core AI
(5)
Applications
(4)
Generation
(4)
Keywords
transfer learning
(6)
low-resource language
(6)
neural network
(4)
active learning
(4)
domain adaptation
(4)
named entity recognition
(4)
cross-lingual transfer
(3)
multi-task learning
(3)
online learning
(2)
semi-supervised learning
(2)
cross-lingual entity linking
(2)
morphological analysis
(2)
syntactic parsing
(2)
representation learning
(2)
knowledge distillation
(2)
semantic role labeling
(2)
multi-source learning
(1)
compressed sensing
(1)
zero-shot learning
(1)
text classification
(1)
Papers
StructSum: Summarization via Structured Representations
EACL 2021
Efficient Meta Lifelong-Learning with Limited Memory
EMNLP 2020
Optimizing Data Usage via Differentiable Rewards
ICML 2020
Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios
AAAI 2020
Soft Gazetteers for Low-Resource Named Entity Recognition
ACL 2020
A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers
EMNLP 2019
Characterizing and Avoiding Negative Transfer
CVPR 2019
CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology
ACL 2019
Data-Driven Approach to Multiple-Source Domain Adaptation
AISTATS 2019
Domain Adaptation of Neural Machine Translation by Lexicon Induction
ACL 2019
Gradient-Based Inference for Networks with Output Constraints
AAAI 2019
Learning Rhyming Constraints using Structured Adversaries
EMNLP 2019
Low-Dimensional Density Ratio Estimation for Covariate Shift Correction
AISTATS 2019
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context
ACL 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
NeurIPS 2019
Zero-Shot Neural Transfer for Cross-Lingual Entity Linking
AAAI 2019
Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations
EMNLP 2018
DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers
EMNLP 2018
Neural Cross-Lingual Named Entity Recognition with Minimal Resources
EMNLP 2018
Towards Semi-Supervised Learning for Deep Semantic Role Labeling
EMNLP 2018
Active Learning from Peers
NeurIPS 2017
Completely Heterogeneous Transfer Learning with Attention - What And What Not To Transfer
IJCAI 2017
Self-Paced Multitask Learning with Shared Knowledge
IJCAI 2017
Adaptive Smoothed Online Multi-Task Learning
NeurIPS 2016
CMU at SemEval-2016 Task 8: Graph-based AMR Parsing with Infinite Ramp Loss
SemEval 2016
Generation from Abstract Meaning Representation using Tree Transducers
NAACL 2016
Leveraging Multilingual Training for Limited Resource Event Extraction
COLING 2016
Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings
EMNLP 2016
Automatic Keyword Extraction on Twitter
ACL 2015
Frame-Semantic Role Labeling with Heterogeneous Annotations
ACL 2015
A Discriminative Graph-Based Parser for the Abstract Meaning Representation
ACL 2014
Cross-Lingual Information to the Rescue in Keyword Extraction
ACL 2014
Efficient Structured Matrix Rank Minimization
NeurIPS 2014
Saddle Points and Accelerated Perceptron Algorithms
ICML 2014
Buy-in-Bulk Active Learning
NeurIPS 2013
Large-Scale Discriminative Training for Statistical Machine Translation Using Held-Out Line Search
NAACL 2013
The Effects of Lexical Resource Quality on Preference Violation Detection
ACL 2013
Recognition of Named-Event Passages in News Articles
COLING 2012
Structured Sparse Canonical Correlation Analysis
AISTATS 2012
Identifiability of Priors from Bounded Sample Sizes with Applications to Transfer Learning
COLT 2011
The Sample Complexity of Self-Verifying Bayesian Active Learning
AISTATS 2011
Active Learning-Based Elicitation for Semi-Supervised Word Alignment
ACL 2010
Monolingual Distributional Profiles for Word Substitution in Machine Translation
COLING 2010
Cluster-Based Query Expansion for Statistical Question Answering
IJCNLP 2008
Spectral Clustering for Example Based Machine Translation
NAACL 2006
Instance-Based Question Answering: A Data-Driven Approach
EMNLP 2004