Kuzman Ganchev
17 papers · 2007–2023 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (26) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🌱
Topic Pioneer
🧭
Keyword Pioneer
💎
Century Club · Bronze
📈
Trend Setter
❓
The Questioner
🔥
Unstoppable · Silver
Venues
Top co-authors
Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Natural Language Processing
(4)
Core Methods
(4)
Learning Types
(4)
Applications
(3)
Deep Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Core AI
(2)
Optimization & Theory
(2)
Architectures
(1)
Generation
(1)
Learning Paradigms
(1)
Models
(1)
Keywords
latent variable model
(3)
expectation maximization
(2)
posterior regularization
(2)
sequence labeling
(1)
clustering
(1)
weakly supervised learning
(1)
chinese word segmentation
(1)
unsupervised tagging
(1)
part-of-speech tagging
(1)
statistical machine translation
(1)
posterior constraints
(1)
constraint satisfaction
(1)
neural network model
(1)
maximum likelihood estimation
(1)
posterior sparsity
(1)
unsupervised pos tagging
(1)
hidden markov model
(1)
clustering algorithm
(1)
graphical model
(1)
latent variable
(1)
Papers
Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation
EACL 2023
State-of-the-art Chinese Word Segmentation with Bi-LSTMs
EMNLP 2018
Globally Normalized Transition-Based Neural Networks
ACL 2016
Semantic Role Labeling with Neural Network Factors
EMNLP 2015
Semantic Frame Identification with Distributed Word Representations
ACL 2014
Cross-Lingual Discriminative Learning of Sequence Models with Posterior Regularization
EMNLP 2013
Universal Dependency Annotation for Multilingual Parsing
ACL 2013
Using Search-Logs to Improve Query Tagging
ACL 2012
Posterior Sparsity in Unsupervised Dependency Parsing
JMLR 2011
Rich Prior Knowledge in Learning for Natural Language Processing
ACL 2011
Posterior Regularization for Structured Latent Variable Models
JMLR 2010
Sparsity in Dependency Grammar Induction
ACL 2010
Dependency Grammar Induction via Bitext Projection Constraints
ACL 2009
Posterior vs Parameter Sparsity in Latent Variable Models
NeurIPS 2009
Better Alignments = Better Translations?
ACL 2008
Expectation Maximization and Posterior Constraints
NeurIPS 2007
Frustratingly Hard Domain Adaptation for Dependency Parsing
EMNLP 2007