Semi-supervised active learning for sequence labeling

Maximum Likelihood from Incomplete Data Via the EM Algorithm

1977 • 46,601 citations

A tutorial on hidden Markov models and selected applications in speech recognition

1989 • 22,242 citations

Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data

2001 • 12,824 citations

Combining labeled and unlabeled data with co-training

1998 • 5,524 citations

Unsupervised word sense disambiguation rivaling supervised methods

1995 • 2,433 citations

A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition

1990 • 1,921 citations

Query by committee

1992 • 1,580 citations

Heterogeneous Uncertainty Sampling for Supervised Learning

1994 • 1,125 citations

An analysis of active learning strategies for sequence labeling tasks

2008 • 965 citations

Employing EM and Pool-Based Active Learning for Text Classification

1998 • 674 citations

Linguistic Data Consortium

1999 • 669 citations

Active + Semi-supervised Learning = Robust Multi-View Learning

2002 • 282 citations

Active Learning with Real Annotation Costs

2008 • 212 citations

Integrated Annotation for Biomedical Information Extraction

2004 • 188 citations

Limitations of Co-Training for Natural Language Learning from Large Datasets

2001 • 167 citations

Interactive information extraction with constrained conditional random fields

2004 • 139 citations

An Approach to Text Corpus Construction which Cuts Annotation Costs and Maintains Reusability of Annotated Data

2007 • 96 citations

Rule writing or annotation

2000 • 84 citations

Minimizing manual annotation cost in supervised training from corpora

1996 • 84 citations

Rule Writing or Annotation: Cost-efficient Resource Usage for Base Noun Phrase Chunking

2001 • 18 citations