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Award ID contains: 1705058

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  1. ; ; (, ACM)
  2. ; ; ; ; ; (, IEEE)
  3. ; ; ; ; (, 2022 58th Annual Allerton Conference on Communication, Control, and Computing (Allerton))
    Full Text Available 
  4. ; ; (, 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE))
    Full Text Available 
  5. ; ; ; ; ; ; ; (, IEEE International Symposium on Information Theory (ISIT))
    Full Text Available 
  6. ; ; ; ; (, IEEE International Conference on Robot and Human Interactive Communication (RO-MAN))
    Full Text Available 
  7. ; ; ; ; (, 30th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN))
    Accepted Manuscript Full Text Available
  8. ; ; ; ; (, IEEE International Conference on Robot and Human Interactive Communication (RoMan))
    Full Text Available 
  9. ; (, Proceedings of the 33rd International FLAIRS Conference)
    Second language learners studying languages with a diverse set of prepositions often find preposition usage difficult to master, which can manifest in second language writing as preposition errors that appear to result from transfer from a native language, or interlingual errors. We envision a digital writing assistant for language learners and teachers that can provide targeted feedback on these errors. To address these errors, we turn to the task of preposition error detection, which remains an open problem despite the many methods that have been proposed. In this paper, we explore various classifiers, with and without neural network-based features, and finetuned BERT models for detecting preposition errors between verbs and their noun arguments. 
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    Accepted Manuscript Full Text Available
  10. ; ; ; ; (, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS))
    Full Text Available