LINGUIST List 20.1914
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Tue May 19 2009
Confs: Computational Linguistics/USA
Editor for this issue: Stephanie Morse
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Directory
1. Katrin
Tomanek,
NAACL HLT 2009 Workshop on Active Learning for NLP
Message 1: NAACL HLT 2009 Workshop on Active Learning for NLP
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Date: 19-May-2009
From: Katrin Tomanek <katrin.tomanekuni-jena.de>
Subject: NAACL HLT 2009 Workshop on Active Learning for NLP
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NAACL HLT 2009 Workshop on Active Learning for NLP
Short Title: ALNLP
Date: 05-Jun-2009 - 05-Jun-2009
Location: Boulder, Colorado, USA
Contact: Eric Ringger
Contact Email: < click here to access email >
Meeting URL: http://nlp.cs.byu.edu/alnlp/
Linguistic Field(s): Computational Linguistics
Meeting Description:
The Workshop on Active Learning for Natural Language Processing will explore the challenges and promise of active learning for NLP tasks, including classification, sequence labeling, parsing, semantics, and other more complex tasks. Both theoretical and applied research is welcome.
Program of NAACL HLT 2009 Workshop on Active Learning for NLP
June, 5th 2009
8:30
Welcome: Eric Ringger, Robbie Haertel, Katrin Tomanek
9:00
Invited talk: Active Learning for NLP: Past, Present, and Future
Burr Settles, University of Wisconsin
Session 1: Anaphora Resolution
10:00
Active Learning for Anaphora Resolution
Caroline Gasperin
10:30
Break
Session 2: Multiple Annotators and Cost Considerations
11:00
On Proper Unit Selection in Active Learning: Co-Selection Effects for Named Entity Recognition
Katrin Tomanek, Florian Laws, Udo Hahn and Hinrich Schütze
11:30
Estimating Annotation Cost for Active Learning in a Multi-Annotator Environment
Shilpa Arora, Eric H. Nyberg and Carolyn P.Rose
12:00
Data Quality from Crowd-sourcing: A Study of Annotation Selection Criteria for Sentiment Analysis
Pei-Yun Hsueh, Prem Melville and Vikas Sindhawni
12:30
Lunch
Session 3: Real Annotators and Experts
2:00
Evaluating Automation Strategies in Language Documentation
Alexis Palmer, Jason Baldridge and Taesun Moon
2:30
A Web Survey on the Use of Active Learning to Support Annotation of Text Data
Katrin Tomanek and Fredrik Olsson
3:00
Invited talk: Return on Investment for Active Learning
Robbie Haertel, Brigham Young University
3:30
Break
Session 4: New Methods
4:00
Active Dual Supervision: Reducing the Cost of Annotating Examples and Features
Prem Melville and Vikas Sindhwani
4:30
Proactive Learning for Building Machine Translation Systems for Minority Languages
Vamshi Ambati and Jaime Carbonell
5:00
Discussion
5:30
End of Workshop
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