University or Organization: University of Massachusetts Lowell
Department: Computer Science
Job Location: USA (Telecommute)
Job Title: Annotator
Job type: Annotator
Specialty Areas: coreference, entity and event annotation, temporal ordering
Required Language(s): English
Description:
An academic research project developing resources for machine learning seeks to fill several annotator positions. The project’s aim is to annotate the order and timing of events in multi-genre text. We are looking for 4-6 native speakers of English who have or are currently pursuing a degree in linguistics or another language-related discipline. Thoroughness and attention to detail are a must. Positions are part-time, telecommute. PLEASE FORWARD TO INTERESTED PARTIES!
Main Responsibilities:
- identification of text spans denoting characters in the narrative, and establishing corefence links between them;
- identification of text spans denoting events in the narrative, and establishing coreference links between them;
- establishing temporal order between events;
- providing feedback on the annotation process and the guidelines (in order to refine them).
Work Environment:
All work is done remotely through software we provide. All annotators follow task-specific annotation guidelines and work individually. The annotation is done anonymously through username; the identity of the annotator is not known to other annotators and not shown in the resulting corpus.
After initial pilots and guideline refinement, this position assumes approx. 20 hours of annotation work per week for 4 months. The pay is $12 per hour.
Application Deadline: (Open until filled)
To apply, please email us your CV. Students please include your academic transcript.
Attn: Dr. Anna Rogers (anna_rogers at uml.edu)
Prof. Anna Rumshisky (arum at cs.uml.edu)
Text Machine Lab for Natural Language Processing
Dept of Computer Science
University of Massachusetts Lowell
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