Sign In
Get Clay Free →

Suggestions

    Evgeniia Razumovskaia

    PhD student at the University of Cambridge working on dialogue systems and cross-lingual NLP

    Evgeniia Razumovskaia is a final year PhD student at the Language Technology Lab (LTL) at the University of Cambridge, supervised by Dr. Ivan Vulić and Prof. Anna Korhonen.1 She previously completed machine learning research internships at Google Research, PolyAI, and Rasa.1 Razumovskaia holds a Masters degree from the Language Technologies Institute (LTI) at Carnegie Mellon University and a BSc from the University of Edinburgh.1

    Her research interests focus on natural language processing and understanding, particularly in dialogue systems and their extension across domains and languages.1 She is also interested in improving the controllability and factuality of dialogue systems.1

    Razumovskaia has contributed to the field of cross-lingual dialogue systems, co-authoring a paper on creating multilingual task-oriented dialogue datasets using an outline-based annotation process.2 This work resulted in the creation of a new dataset called COD (Cross-lingual Outline-based Dialogue) for evaluating multilingual and cross-lingual task-oriented dialogue systems.2

    In her free time, Razumovskaia enjoys arts, movies, music, and long walks.1

    Highlights

    Jan 12 · direct.mit.edu
    Cross-Lingual Dialogue Dataset Creation via Outline-Based ...

    Related Questions

    What are her main research interests in natural language processing?
    How has her work at Rasa influenced her research in dialogue systems?
    What challenges has she faced in extending dialogue systems across domains and languages?
    Can you tell me more about her experience at Google Research and PolyAI?
    What are some notable projects she has worked on during her internships?
    Evgeniia Razumovskaia
    Evgeniia Razumovskaia, photo 1
    Evgeniia Razumovskaia, photo 2
    Add to my network

    Location

    Cambridge, England, United Kingdom