--- title: "NAACL HLT Workshop on Creating Speech and Language Data" description: "NAACL HLT Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk 2010 — accepted papers: 2 papers in the…" canonical: "https://research.elamur.ai/free/en/venues/naacl-hlt-workshop-on-creating-speech-and-language-data-with-amazon-s-mechanical/2010/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/naacl-hlt-workshop-on-creating-speech-and-language-data-with-amazon-s-mechanical/2010/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [NAACL HLT Workshop on Creating Speech…](https://md.research.elamur.ai/free/en/venues/naacl-hlt-workshop-on-creating-speech-and-language-data-with-amazon-s-mechanical/) / 2010 # NAACL HLT Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk 2010 — accepted papers NAACL HLT Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk 2010 is the 2010 edition of the NAACL HLT Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, held in Los Angeles, June 2010 (publisher: Association for Computational Linguistics). OpenAlex lists 35 papers of it; our library holds 2 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions. 📍 Los Angeles · 🗓 June 2010 [**35** papers in the proceedings](#all) · [**2** works in our library](https://md.research.elamur.ai/free/en/venues/naacl-hlt-workshop-on-creating-speech-and-language-data-with-amazon-s-mechanical/2010/#works) · [**655** citations of these works](https://md.research.elamur.ai/free/en/venues/naacl-hlt-workshop-on-creating-speech-and-language-data-with-amazon-s-mechanical/2010/#works) ## All accepted papers (35) The most cited first; 2 with our summary link to their page here, the others to the original. 1. **[Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation ↗](https://aclanthology.org/W10-0731/)**Cem Akkaya, Alexander Conrad, Janyce Wiebe et al. 2. **[An Enriched MT Grammar for Under \$100 ↗](https://aclanthology.org/W10-0715/)**Omar F. Zaidan, Juri Ganitkevitch 3. **[Annotating Large Email Datasets for Named Entity Recognition with Mechanical Turk ↗](https://aclanthology.org/W10-0712/)**Nolan Lawson, Kevin Eustice, Mike Perkowitz et al. 4. **[Annotating Named Entities in Twitter Data with Crowdsourcing ↗](https://aclanthology.org/W10-0713/)**Tim Finin, William Murnane, Anand Karandikar et al. 5. **[Can Crowds Build parallel corpora for Machine Translation Systems? ↗](https://aclanthology.org/W10-0710/)**Vamshi Ambati, Stephan Vogel 6. **[Cheap Facts and Counter-Facts ↗](https://aclanthology.org/W10-0725/)**Rui Wang, Chris Callison-Burch 7. **[Clustering dictionary definitions using Amazon Mechanical Turk ↗](https://aclanthology.org/W10-0703/)**Gabriel Parent, Maxine Eskenazi 8. **[Collecting Image Annotations Using Amazon's Mechanical Turk](https://md.research.elamur.ai/free/en/papers/rashtchian-2010-collecting-image-annotations-amazon-s/)**Cyrus Rashtchian, Peter Young, Micah Hodosh et al.*our summary* 9. **[Corpus Creation for New Genres: A Crowdsourced Approach to PP Attachment ↗](https://aclanthology.org/W10-0702/)**Mukund Jha, Jacob Andreas, Kapil Thadani et al. 10. **[Creating Speech and Language Data With Amazon's Mechanical Turk](https://md.research.elamur.ai/free/en/papers/burch-2010-creating-speech-language-data-amazon/)**Chris Callison-Burch, Mark Dredze*our summary* 11. **[Creating a Bi-lingual Entailment Corpus through Translations with Mechanical Turk: \$100 for a 10-day Rush ↗](https://aclanthology.org/W10-0734/)**Matteo Negri, Yashar Mehdad 12. **[Crowdsourced Accessibility: Elicitation of Wikipedia Articles ↗](https://aclanthology.org/W10-0706/)**Scott Novotney, Chris Callison-Burch 13. **[Crowdsourcing Document Relevance Assessment with Mechanical Turk ↗](https://aclanthology.org/W10-0727/)**Catherine Grady, Matthew Lease 14. **[Crowdsourcing and language studies: the new generation of linguistic data ↗](https://aclanthology.org/W10-0719/)**Robert Munro, Steven Bethard, Victor Kuperman et al. 15. **[Document Image Collection Using Amazon's Mechanical Turk ↗](https://aclanthology.org/W10-0707/)**Audrey Le, Jerome Ajot, Mark Przybocki et al. 16. **[Error Driven Paraphrase Annotation using Mechanical Turk ↗](https://aclanthology.org/W10-0735/)**Olivia Buzek, Philip Resnik, Ben Bederson 17. **[Evaluation of Commonsense Knowledge with Mechanical Turk ↗](https://aclanthology.org/W10-0724/)**Jonathan Gordon, Benjamin Van Durme, Lenhart Schubert 18. **[Exploring Normalization Techniques for Human Judgments of Machine Translation Adequacy Collected Using Amazon Mechanical Turk ↗](https://aclanthology.org/W10-0709/)**Michael Denkowski, Alon Lavie 19. **[MTurk Crowdsourcing: A Viable Method for Rapid Discovery of Arabic Nicknames? ↗](https://aclanthology.org/W10-0714/)**Chiara Higgins, Elizabeth McGrath, Laila Moretto 20. **[Measuring Transitivity Using Untrained Annotators ↗](https://aclanthology.org/W10-0730/)**Nitin Madnani, Jordan Boyd-Graber, Philip Resnik 21. **[Non-Expert Correction of Automatically Generated Relation Annotations ↗](https://aclanthology.org/W10-0732/)**Matthew R. Gormley, Adam Gerber, Mary Harper et al. 22. **[Non-Expert Evaluation of Summarization Systems is Risky ↗](https://aclanthology.org/W10-0722/)**Dan Gillick, Yang Liu 23. **[Not-So-Latent Dirichlet Allocation: Collapsed Gibbs Sampling Using Human Judgments ↗](https://aclanthology.org/W10-0720/)**Jonathan Chang 24. **[Opinion Mining of Spanish Customer Comments with Non-Expert Annotations on Mechanical Turk ↗](https://aclanthology.org/W10-0718/)**Bart Mellebeek, Francesc Benavent, Jens Grivolla et al. 25. **[Preliminary Experiments with Amazon's Mechanical Turk for Annotating Medical Named Entities ↗](https://aclanthology.org/W10-0728/)**Meliha Yetisgen-Yildiz, Imre Solti, Fei Xia et al. [See all 35 papers in NAACL HLT Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk 2010 — accepted papers →](https://md.research.elamur.ai/free/en/venues/naacl-hlt-workshop-on-creating-speech-and-language-data-with-amazon-s-mechanical/2010/papers/) ## Papers with our summary in our library (2) The most cited first (OpenAlex citations plus our library's). 1. **[Collecting Image Annotations Using Amazon's Mechanical Turk](https://md.research.elamur.ai/free/en/papers/rashtchian-2010-collecting-image-annotations-amazon-s/) [NAACL HLT Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk](https://md.research.elamur.ai/free/en/venues/naacl-hlt-workshop-on-creating-speech-and-language-data-with-amazon-s-mechanical/)**Cyrus Rashtchian, Peter Young, Micah Hodosh, et al.*2010 · 569 citations* 2. **[Creating Speech and Language Data With Amazon's Mechanical Turk](https://md.research.elamur.ai/free/en/papers/burch-2010-creating-speech-language-data-amazon/) [NAACL HLT Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk](https://md.research.elamur.ai/free/en/venues/naacl-hlt-workshop-on-creating-speech-and-language-data-with-amazon-s-mechanical/)**Chris Callison-Burch, Mark Dredze*2010 · 86 citations* ## Fields [Computer Science (2)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) ## Top authors Authors with a page who published here most often: their works here, and the citations of those works. [🧑‍🔬**Julia Hockenmaier**1 work here · 569 citations](https://md.research.elamur.ai/free/en/authors/julia-hockenmaier/) · [🧑‍🔬**Chris Callison-Burch**1 work here · 86 citations](https://md.research.elamur.ai/free/en/authors/chris-callison-burch/) · [🧑‍🔬**Mark Dredze**1 work here · 86 citations](https://md.research.elamur.ai/free/en/authors/mark-dredze/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🎓**University of Illinois Urbana-Champaign** Urbana · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library. - [↑ back to NAACL HLT Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk](https://md.research.elamur.ai/free/en/venues/naacl-hlt-workshop-on-creating-speech-and-language-data-with-amazon-s-mechanical/)