Work with Dr. Jekaterina Novikova, Ph.D. | NotedSource
I am a Director of Machine Learning Research at Cambridge
Cognition, where I improve the products using language
technology. I am also a Science Lead at the ARVA
non-profit, where I lead research efforts in AI safety. I
participated in the development of the BLOOM large
language model and led the organization of the End-to-End
NLG shared task which set a new research agenda for neural
text generation. My research was published in
well-regarded journals and conferences, such as
Interspeech, NAACL and EMNLP.
https://cv.notedsource.io/me/8XJ52D4J
Dr. Jekaterina Novikova, Ph.D.
Generative AI, LLM, Natural Language Processing, ML in Health, AI Safety
Toronto, Ontario, Canada
Research Expertise
Natural Language Processing
Machine Learning for Health
Trustworthy AI
Generative AI
Large Language Models
About
I am a Director of Machine Learning Research
at Cambridge Cognition, where I improve the
products using language technology. I am also
a Science Lead at the ARVA non-profit, where I
lead research efforts in AI safety. I
participated in the development of the BLOOM
large language model and led the organization
of the End-to-End NLG shared task which set a
new research agenda for neural text
generation. My research was published in
well-regarded journals and conferences, such
as Interspeech, NAACL and EMNLP.
Legacy Map
Full ViewPublications
Why We Need New Evaluation Metrics for NLG
Proceedings of the 2017 Conference on
Empirical Methods in Natural Language
Processing
2017
The E2E Dataset: New Challenges For
End-to-End Generation
Proceedings of the 18th Annual SIGdial
Meeting on Discourse and Dialogue
2017
Evaluating the state-of-the-art of
End-to-End Natural Language Generation:
The E2E NLG challenge
Computer Speech & Language
2020
To BERT or not to BERT: Comparing Speech
and Language-Based Approaches for
Alzheimer’s Disease Detection
Interspeech 2020
2020
Findings of the E2E NLG Challenge
Proceedings of the 11th International
Conference on Natural Language
Generation
2018
RankME: Reliable Human Ratings for Natural
Language Generation
Proceedings of the 2018 Conference of
the North American Chapter of the
Association for Computational
Linguistics: Human Language
Technologies, Volume 2 (Short
Papers)
2018
Crowd-sourcing NLG Data: Pictures Elicit
Better Data.
Proceedings of the 9th International
Natural Language Generation
conference
2016
Correlating natural language processing
and automated speech analysis with
clinician assessment to quantify
speech-language changes in mild cognitive
impairment and Alzheimer’s dementia
Alzheimer's Research &
Therapy
2021
Comparing Pre-trained and Feature-Based
Models for Prediction of Alzheimer's
Disease Based on Speech
Frontiers in Aging Neuroscience
2021
A design model of emotional body
expressions in non-humanoid robots
Proceedings of the second international
conference on Human-agent
interaction
2014
Comparing Acoustic-Based Approaches for
Alzheimer’s Disease Detection
Interspeech 2021
2021
Hybrid chat and task dialogue for more
engaging HRI using reinforcement learning
2017 26th IEEE International Symposium
on Robot and Human Interactive
Communication (RO-MAN)
2017
Towards Artificial Emotions to Assist
Social Coordination in HRI
International Journal of Social
Robotics
2014
Detecting cognitive impairments by
agreeing on interpretations of linguistic
features
Proceedings of the 2019 Conference of
the North
2019
It’s Not the Way You Look, It’s How You
Move: Validating a General Scheme for
Robot Affective Behaviour
Human-Computer Interaction – INTERACT
2015
2015
Emotionally expressive robot behavior
improves human-robot collaboration
2015 24th IEEE International Symposium
on Robot and Human Interactive
Communication (RO-MAN)
2015
DEPAC: a Corpus for Depression and Anxiety
Detection from Speech
Proceedings of the Eighth Workshop on
Computational Linguistics and Clinical
Psychology
2022
Lexical Features Are More Vulnerable,
Syntactic Features Have More Predictive
Power
Proceedings of the 5th Workshop on
Noisy User-generated Text (W-NUT
2019)
2019
Impact of ASR on Alzheimer’s Disease
Detection: All Errors are Equal, but
Deletions are More Equal than Others
Proceedings of the Sixth Workshop on
Noisy User-generated Text (W-NUT
2020)
2020
The aNALoGuE Challenge: Non Aligned
Language GEneration
Proceedings of the 9th International
Natural Language Generation
conference
2016
Emotionally Driven Robot Control
Architecture for Human-Robot Interaction
Towards Autonomous Robotic
Systems
2014
Fantastic Features and Where to Find Them:
Detecting Cognitive Impairment with a
Subsequence Classification Guided Approach
Proceedings of the Sixth Workshop on
Noisy User-generated Text (W-NUT
2020)
2020
Sympathy Begins with a Smile, Intelligence
Begins with a Word: Use of Multimodal
Features in Spoken Human-Robot Interaction
Proceedings of the First Workshop on
Language Grounding for Robotics
2017
Tutoring Robots
Innovative and Creative Developments in
Multimodal Interaction Systems
2014
Robustness and Sensitivity of BERT Models
Predicting Alzheimer’s Disease from Text
Proceedings of the Seventh Workshop on
Noisy User-generated Text (W-NUT
2021)
2021
Automated detection of progressive speech
changes in early Alzheimer's disease
Alzheimer's & Dementia: Diagnosis,
Assessment & Disease
Monitoring
2023
Modeling Human-Robot Collaboration in a
Simulated Environment
Proceedings of the Tenth Annual
ACM/IEEE International Conference on
Human-Robot Interaction Extended
Abstracts
2015
Cost-effective Models for Detecting
Depression from Speech
2022 21st IEEE International Conference
on Machine Learning and Applications
(ICMLA)
2022
Introducing a ROS based planning and
execution framework for human-robot
interaction
Proceedings of the 1st ACM SIGCHI
International Workshop on Investigating
Social Interactions with Artificial
Agents
2017
Human-robot collaborative tutoring using
multiparty multimodal spoken dialogue
Proceedings of the 2014 ACM/IEEE
international conference on Human-robot
interaction
2014
The role of emotions in inter-action
selection
Interaction Studies
2014
Quality comparison of remote vs. in‐person
digital speech assessment for dementia
Alzheimer's & Dementia
2020
S44. Using Acoustic and Linguistic Markers
From Spontaneous Speech to Predict Scores
on the Montreal Cognitive Assessment
(MoCA)
Biological Psychiatry
2019
Characterizing progressive speech changes
in prodromal‐to‐mild Alzheimer’s disease
using natural language processing
Alzheimer's & Dementia
2022
Factors Affecting the Performance of
Automated Speaker Verification in
Alzheimer’s Disease Clinical Trials
Proceedings of the 5th Clinical Natural
Language Processing Workshop
2023
Proceedings of the 2nd Workshop on Natural
Language Generation, Evaluation, and
Metrics (GEM)
Unknown Venue
2022
A comparison of clinician assessment of
speech versus automated speech analysis in
mild cognitive impairment and Alzheimer’s
dementia
Alzheimer's & Dementia
2020
P4‐541: COMPARISON OF A SPEECH‐BASED
DIGITAL BIOMARKER WITH THE MOCA IN A
NATURALISTIC COHORT OF SENIORS
Alzheimer's & Dementia
2019
2d. Beitragsmodell (arXiv)
Praxishandbuch Open Access
2017
The first historical account of Vietnam
mathematics on arXiv
Unknown Venue
2022
Consensus rate-based label propagation for
semi-supervised classification
Information Sciences
2018
Preprint repository arXiv achieves
milestone million uploads
Physics Today
2014
About the social role of child and
adolescent psychiatrists in times of
epidemic
IACAPAP ArXiv
2020
Frontotemporal lobar degeneration
Radiopaedia.org
2019
A Generic Architecture for Dynamic Outdoor
Environment
2011 IEEE 23rd International Conference
on Tools with Artificial
Intelligence
2011
ArXiv in the Open Access Era: its usage
and impact on physics researchers
Bulletin of the AAS
2022
Using Digital Speech Assessments to Detect
Early Signs of Cognitive Impairment
Frontiers in Digital Health
2021
arXiv
100 Years of Math Milestones
2019
Optimization for Real-Time Embedded
Systems
Real-Time Embedded Systems
2011
Education
University of Bath
Ph.D., Artificial Intelligence
Bath
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