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jeknov/README.md

Hi there πŸ‘‹

I'm Jekaterina Novikova, the AI/NLP researcher. I am studying computational models of natural language. My research interests include natural language generation and evaluation, ML for health, and trustworthy AI.

🧐 Research

  • 🀨 I’m currently working on improving trustworthiness and reliability of LLMs.
  • 🧠 Over the past several years, my team and I have studied the AI-based methods to detect cognitive impairment associated with dementia and mental illness from human language. This research has informed the development of practical healthcare applications used in clinical trials and senior care, improving the lives of people with dementia and psychiatric illness.
  • πŸ† With my postdoc colleagues I co-organized the End-to-End NLG shared task that attracted NLG researchers from across the world and set a new research agenda for the field of neural text generation.
  • πŸ€– My research on conversational models for human-robot interaction was used for a multimodal dialogue system implemented in a humanoid robot engaging and interacting autonomously with customers in a grocery store in Scotland and in a busy shopping mall in Finland.

🌐 Socials

Scholar ResearchGate LinkedIn Twitter Website

πŸ’» Skills

Python Shell Script PyTorch NumPy Pandas SciPy Plotly scikit-learn Huggingface Git Docker Trello

πŸ“” Projects I have contributed to

Readme Card Readme Card

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  1. bert-robustness bert-robustness Public

    Supplementary material accompanying the following paper: Jekaterina Novikova (2021). Robustness and Sensitivity of BERT Models Predicting Alzheimer's Disease from Text.

    Python 1

  2. google/BIG-bench google/BIG-bench Public

    Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

    Python 2.9k 591

  3. EMNLP_17_submission EMNLP_17_submission Public

    The dataset and statistical analysis code released with the submission of EMNLP 2017 paper "Why We Need New Evaluation Metrics for NLG"

    R 19 3

  4. RankME RankME Public

    The dataset and code released with the submission of NAACL 2018 paper "RankME: Reliable Human Ratings for Natural Language Generation"

    HTML 24 5

  5. INLG_16_submission INLG_16_submission Public

    The dataset released with the submission of INLG 2016 paper "Crowd-sourcing NLG Data: Pictures Elicit Better Data" (https://aclweb.org/anthology/W/W16/W16-6644.pdf)

    5 1

  6. RoboNLP_2017_submission RoboNLP_2017_submission Public

    The code for the RoboNLP-2017 paper "Sympathy Begins with a Smile, Intelligence Begins with a Word: Use of Multimodal Features in Spoken Human-Robot Interaction"

    R