Call for Papers

The Student Research Workshop (SRW) is held in conjunction with ACL 2016. The SRW is designed to provide a venue for student researchers in Computational Linguistics and Natural Language Processing to present their work. Students will receive feedback and mentorship from an experienced researcher in the field based on the topic of their submission. The SRW invites two types of submissions: 

  • Research Papers: completed work or works-in-progress along with preliminary results. We encourage submissions from from Ph.Ds, as well as Masters students or advanced undergraduates.
  • Thesis Proposal: for advanced Masters and Ph.D. students who have decided on a thesis topic and are interested in feedback about their proposal and ideas about future directions for their work.
This year we provide two mentoring programs:
  • Pre-submission mentoring: the goal is to improve presentation of the student's work, not to critique the work itself. Mentors will provide feedback in the format of guidelines and suggestions to improve the overall writing.
  • Mentoring for Accepted Papers: mentors will be responsible for providing feedback to students and preparing in-depth comments and questions prior to the workshop presentation.

Electronic Submission

To submit your paper or proposal, please use the Softconf START conference management system at

The deadline for submission is April 26. Students who wish to receive pre-submission mentoring must submit by February 22. Please see the list of Important Dates and Submission Guidelines

The SRW invites papers on topics related to computational linguistics, including but not limited to:

  • Cognitive modeling and psycholinguistics
  • Dialog and interactive systems
  • Discourse and pragmatics
  • Document analysis including text categorization, topic models, and retrieval
  • Natural language generation
  • Information extraction, text mining, and question answering
  • Machine learning
  • Machine translation
  • Multilinguality
  • Phonology, morphology, and word segmentation
  • Resources and evaluation
  • Semantics
  • Sentiment analysis and opinion mining
  • Social media
  • Speech
  • Summarization
  • Tagging, chunking, syntax, and parsing
  • Vision, robots, and other grounding