Workshop Schedule

Sunday, June 6, 2010

9:00am Morning Session

Creating Speech and Language Data With Amazon’s Mechanical Turk

Chris Callison-Burch and Mark Dredze

9:10am Invited Talk by CrowdFlower

10:10am Morning Presentation Session

Corpus Creation for New Genres: A Crowdsourced Approach to PP Attachment

Mukund Jha, Jacob Andreas, Kapil Thadani, Sara Rosenthal and Kathleen McKeown

10:30am Break

11:00am Morning Poster Session

Note: morning talks will also be presented as posters in this session.

Clustering dictionary definitions using Amazon Mechanical Turk

Gabriel Parent and Maxine Eskenazi

Semi-supervised Word Alignment with Mechanical Turk

Qin Gao and Stephan Vogel

Rating Computer-Generated Questions with Mechanical Turk

Michael Heilman and Noah A. Smith

Crowdsourced Accessibility: Elicitation of Wikipedia Articles

Scott Novotney and Chris Callison-Burch

Document Image Collection Using Amazon’s Mechanical Turk

Audrey Le, Jerome Ajot, Mark Przybocki and Stephanie Strassel

Using Amazon Mechanical Turk for Transcription of Non-Native Speech

Keelan Evanini, Derrick Higgins and Klaus Zechner

Exploring Normalization Techniques for Human Judgments of Machine Translation Adequacy Collected Using Amazon Mechanical Turk

Michael Denkowski and Alon Lavie

Can Crowds Build parallel corpora for Machine Translation Systems?

Vamshi Ambati and Stephan Vogel

Turker-Assisted Paraphrasing for English-Arabic Machine Translation

Michael Denkowski, Hassan Al-Haj and Alon Lavie

Annotating Large Email Datasets for Named Entity Recognition with Mechanical Turk

Nolan Lawson, Kevin Eustice, Mike Perkowitz and Meliha Yetisgen-Yildiz

Annotating Named Entities in Twitter Data with Crowdsourcing

Tim Finin, William Murnane, Anand Karandikar, Nicholas Keller, Justin Martineau and Mark Dredze

MTurk Crowdsourcing: A Viable Method for Rapid Discovery of Arabic Nicknames?

Chiara Higgins, Elizabeth McGrath and Laila Moretto

An Enriched MT Grammar for Under $100

Omar Zaidan and Juri Ganitkevitch

12:30pm Lunch

1:30pm Afternoon Presentation Session 1

Using the Amazon Mechanical Turk to Transcribe and Annotate Meeting Speech for Extractive Summarization

Matthew Marge, Satanjeev Banerjee and Alexander Rudnicky

Using Mechanical Turk to Annotate Lexicons for Less Commonly Used Languages

Ann Irvine and Alexandre Klementiev

Opinion Mining of Spanish Customer Comments with Non-Expert Annotations on Mechanical Turk

Bart Mellebeek, Francesc Benavent, Jens Grivolla, Joan Codina, Marta R. Costa-Jussà and Rafael Banchs

Crowdsourcing and language studies: the new generation of linguistic data

Robert Munro, Steven Bethard, Victor Kuperman, Vicky Tzuyin Lai, Robin Melnick, Christopher Potts, Tyler Schnoebelen and Harry Tily

Not-So-Latent Dirichlet Allocation: Collapsed Gibbs Sampling Using Human Judgments

Jonathan Chang

3:10pm Break

3:30pm Afternoon Presentation Session 2

Collecting Image Annotations Using Amazon’s Mechanical Turk

Cyrus Rashtchian, Peter Young, Micah Hodosh and Julia Hockenmaier

Non-Expert Evaluation of Summarization Systems is Risky

Dan Gillick and Yang Liu

Shedding (a Thousand Points of) Light on Biased Language

Tae Yano, Philip Resnik and Noah A. Smith

4:30pm Afternoon Poster Session

Note: afternoon talks will also be presented as posters in this session.

Evaluation of Commonsense Knowledge with Mechanical Turk

Jonathan Gordon, Benjamin Van Durme and Lenhart Schubert

Cheap Facts and Counter-Facts

Rui Wang and Chris Callison-Burch

The Wisdom of the Crowds Ear: Speech Accent Rating and Annotation with Amazon Mechanical Turk

Stephen Kunath and Steven Weinberger

Crowdsourcing Document Relevance Assessment with Mechanical Turk

Catherine Grady and Matthew Lease

Preliminary Experiments with Amazon’s Mechanical Turk for Annotating Medical Named Entities

Meliha Yetisgen-Yildiz, Imre Solti, Fei Xia and Scott Halgrim

Tools for Collecting Speech Corpora via Mechanical-Turk

Ian Lane, Matthias Eck, Kay Rottmann and Alex Waibel

Measuring Transitivity Using Untrained Annotators

Nitin Madnani, Jordan Boyd-Graber and Philip Resnik

Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation

Cem Akkaya, Alexander Conrad, Janyce Wiebe and Rada Mihalcea

Non-Expert Correction of Automatically Generated Relation Annotations

Matthew R. Gormley, Adam Gerber, Mary Harper and Mark Dredze

Using Mechanical Turk to Build Machine Translation Evaluation Sets

Michael Bloodgood and Chris Callison-Burch

Creating a Bi-lingual Entailment Corpus through Translations with Mechanical Turk: $100 for a 10-day Rush

Matteo Negri and Yashar Mehdad

Error Driven Paraphrase Annotation using Mechanical Turk

Olivia Buzek, Philip Resnik and Ben Bederson