* * * * * * * * * * * * * * * * * * * * * * * *
LINGUIST List logo Eastern Michigan University Wayne State University *
* People & Organizations * Jobs * Calls & Conferences * Publications * Language Resources * Text & Computer Tools * Teaching & Learning * Mailing Lists * Search *
* *
LINGUIST List 20.1914

Tue May 19 2009

Confs: Computational Linguistics/USA

Editor for this issue: Stephanie Morse <morselinguistlist.org>

LINGUIST is pleased to announce the launch of an exciting new feature: Easy Abstracts! Easy Abs is a free abstract submission and review facility designed to help conference organizers and reviewers accept and process abstracts online. Just go to: http://www.linguistlist.org/confcustom, and begin your conference customization process today! With Easy Abstracts, submission and review will be as easy as 1-2-3!
        1.    Katrin Tomanek, NAACL HLT 2009 Workshop on Active Learning for NLP

Message 1: NAACL HLT 2009 Workshop on Active Learning for NLP
Date: 19-May-2009
From: Katrin Tomanek <katrin.tomanekuni-jena.de>
Subject: NAACL HLT 2009 Workshop on Active Learning for NLP
E-mail this message to a friend

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

Welcome: Eric Ringger, Robbie Haertel, Katrin Tomanek

Invited talk: Active Learning for NLP: Past, Present, and Future
Burr Settles, University of Wisconsin

Session 1: Anaphora Resolution

Active Learning for Anaphora Resolution
Caroline Gasperin


Session 2: Multiple Annotators and Cost Considerations

On Proper Unit Selection in Active Learning: Co-Selection Effects for Named Entity Recognition
Katrin Tomanek, Florian Laws, Udo Hahn and Hinrich Sch├╝tze

Estimating Annotation Cost for Active Learning in a Multi-Annotator Environment
Shilpa Arora, Eric H. Nyberg and Carolyn P.Rose

Data Quality from Crowd-sourcing: A Study of Annotation Selection Criteria for Sentiment Analysis
Pei-Yun Hsueh, Prem Melville and Vikas Sindhawni


Session 3: Real Annotators and Experts

Evaluating Automation Strategies in Language Documentation
Alexis Palmer, Jason Baldridge and Taesun Moon

A Web Survey on the Use of Active Learning to Support Annotation of Text Data
Katrin Tomanek and Fredrik Olsson

Invited talk: Return on Investment for Active Learning
Robbie Haertel, Brigham Young University


Session 4: New Methods

Active Dual Supervision: Reducing the Cost of Annotating Examples and Features
Prem Melville and Vikas Sindhwani

Proactive Learning for Building Machine Translation Systems for Minority Languages
Vamshi Ambati and Jaime Carbonell


End of Workshop

Read more issues|LINGUIST home page|Top of issue

Please report any bad links or misclassified data

LINGUIST Homepage | Read LINGUIST | Contact us

NSF Logo

While the LINGUIST List makes every effort to ensure the linguistic relevance of sites listed
on its pages, it cannot vouch for their contents.