Abstract is missing.
- Creating Speech and Language Data With Amazon's Mechanical TurkChris Callison-Burch, Mark Dredze. 1-12 [doi]
- Corpus Creation for New Genres: A Crowdsourced Approach to PP AttachmentMukund Jha, Jacob Andreas, Kapil Thadani, Sara Rosenthal, Kathleen McKeown. 13-20 [doi]
- Clustering dictionary definitions using Amazon Mechanical TurkGabriel Parent, Maxine Eskénazi. 21-29 [doi]
- Semi-supervised Word Alignment with Mechanical TurkQin Gao, Stephan Vogel. 30-34 [doi]
- Rating Computer-Generated Questions with Mechanical TurkMichael Heilman, Noah A. Smith. 35-40 [doi]
- Crowdsourced Accessibility: Elicitation of Wikipedia ArticlesScott Novotney, Chris Callison-Burch. 41-44 [doi]
- Document Image Collection Using Amazon's Mechanical TurkAudrey N. Le, Jerome Ajot, Mark A. Przybocki, Stephanie Strassel. 45-52 [doi]
- Using Amazon Mechanical Turk for Transcription of Non-Native SpeechKeelan Evanini, Derrick Higgins, Klaus Zechner. 53-56 [doi]
- Exploring Normalization Techniques for Human Judgments of Machine Translation Adequacy Collected Using Amazon Mechanical TurkMichael J. Denkowski, Alon Lavie. 57-61 [doi]
- Can Crowds Build parallel corpora for Machine Translation Systems?Vamshi Ambati, Stephan Vogel. 62-65 [doi]
- Turker-Assisted Paraphrasing for English-Arabic Machine TranslationMichael J. Denkowski, Hassan Al-Haj, Alon Lavie. 66-70 [doi]
- Annotating Large Email Datasets for Named Entity Recognition with Mechanical TurkNolan Lawson, Kevin Eustice, Mike Perkowitz, Meliha Yetisgen-Yildiz. 71-79 [doi]
- Annotating Named Entities in Twitter Data with CrowdsourcingTim Finin, William Murnane, Anand Karandikar, Nicholas Keller, Justin Martineau, Mark Dredze. 80-88 [doi]
- MTurk Crowdsourcing: A Viable Method for Rapid Discovery of Arabic Nicknames?Chiara Higgins, Elizabeth McGrath, Laila Moretto. 89-92 [doi]
- An Enriched MT Grammar for Under $100Omar Zaidan, Juri Ganitkevitch. 93-98 [doi]
- Using the Amazon Mechanical Turk to Transcribe and Annotate Meeting Speech for Extractive SummarizationMatthew Marge, Satanjeev Banerjee, Alexander I. Rudnicky. 99-107 [doi]
- Using Mechanical Turk to Annotate Lexicons for Less Commonly Used LanguagesAnn Irvine, Alexandre Klementiev. 108-113 [doi]
- Opinion Mining of Spanish Customer Comments with Non-Expert Annotations on Mechanical TurkBart Mellebeek, Francesc Benavent, Jens Grivolla, Joan Codina, Marta R. Costa-Jussà, Rafael E. Banchs. 114-121 [doi]
- Crowdsourcing and language studies: the new generation of linguistic dataRobert Munro, Steven Bethard, Victor Kuperman, Vicky Tzuyin Lai, Robin Melnick, Christopher Potts, Tyler Schnoebelen, Harry Tily. 122-130 [doi]
- Not-So-Latent Dirichlet Allocation: Collapsed Gibbs Sampling Using Human JudgmentsJonathan Chang. 131-138 [doi]
- Collecting Image Annotations Using Amazon's Mechanical TurkCyrus Rashtchian, Peter Young, Micah Hodosh, Julia Hockenmaier. 139-147 [doi]
- Non-Expert Evaluation of Summarization Systems is RiskyDan Gillick, Yang Liu 0004. 148-151 [doi]
- Shedding (a Thousand Points of) Light on Biased LanguageTae Yano, Philip Resnik, Noah A. Smith. 152-158 [doi]
- Evaluation of Commonsense Knowledge with Mechanical TurkJonathan Gordon, Benjamin Van Durme, Lenhart K. Schubert. 159-162 [doi]
- Cheap Facts and Counter-FactsRui Wang, Chris Callison-Burch. 163-167 [doi]
- The Wisdom of the Crowdâs Ear: Speech Accent Rating and Annotation with Amazon Mechanical TurkStephen A. Kunath, Steven H. Weinberger. 168-171 [doi]
- Crowdsourcing Document Relevance Assessment with Mechanical TurkCatherine Grady, Matthew Lease. 172-179 [doi]
- Preliminary Experiments with Amazon's Mechanical Turk for Annotating Medical Named EntitiesMeliha Yetisgen-Yildiz, Imre Solti, Fei Xia, Scott R. Halgrim. 180-183 [doi]
- Tools for Collecting Speech Corpora via Mechanical-TurkIan R. Lane, Matthias Eck, Kay Rottmann, Alex Waibel. 184-187 [doi]
- Measuring Transitivity Using Untrained AnnotatorsNitin Madnani, Jordan L. Boyd-Graber, Philip Resnik. 188-194 [doi]
- Amazon Mechanical Turk for Subjectivity Word Sense DisambiguationCem Akkaya, Alexander Conrad, Janyce Wiebe, Rada Mihalcea. 195-203 [doi]
- Non-Expert Correction of Automatically Generated Relation AnnotationsMatthew R. Gormley, Adam Gerber, Mary Harper, Mark Dredze. 204-207 [doi]
- Using Mechanical Turk to Build Machine Translation Evaluation SetsMichael Bloodgood, Chris Callison-Burch. 208-211 [doi]
- Creating a Bi-lingual Entailment Corpus through Translations with Mechanical Turk: $100 for a 10-day RushMatteo Negri, Yashar Mehdad. 212-216 [doi]
- Error Driven Paraphrase Annotation using Mechanical TurkOlivia Buzek, Philip Resnik, Ben Bederson. 217-221 [doi]