Jekaterina Novikova

Orcid: 0000-0003-4754-6126

According to our database1, Jekaterina Novikova authored at least 43 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
DEPAC: a Corpus for Depression and Anxiety Detection from Speech.
CoRR, 2023

Factors Affecting the Performance of Automated Speaker Verification in Alzheimer's Disease Clinical Trials.
Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022
Multi-modal deep learning system for depression and anxiety detection.
CoRR, 2022

DECK: Behavioral Tests to Improve Interpretability and Generalizability of BERT Models Detecting Depression from Text.
CoRR, 2022

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.
CoRR, 2022

Impact of Acoustic Noise on Alzheimer's Disease Detection from Speech: Should You Let Baby Cry?
CoRR, 2022

Cost-effective Models for Detecting Depression from Speech.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

Impact of Environmental Noise on Alzheimer's Disease Detection from Speech: Should You Let a Baby Cry?
Proceedings of the Eighth Workshop on Noisy User-generated Text, 2022

Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data.
Proceedings of the Eighth Workshop on Noisy User-generated Text, 2022

2021
Comparing Acoustic-Based Approaches for Alzheimer's Disease Detection.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Robustness and Sensitivity of BERT Models Predicting Alzheimer's Disease from Text.
Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

2020
Evaluating the state-of-the-art of End-to-End Natural Language Generation: The E2E NLG challenge.
Comput. Speech Lang., 2020

Augmenting BERT Carefully with Underrepresented Linguistic Features.
CoRR, 2020

To BERT or not to BERT: Comparing Speech and Language-Based Approaches for Alzheimer's Disease Detection.
Proceedings of the Interspeech 2020, 2020

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, 2020

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, 2020

2019
Variations on the Chebyshev-Lagrange Activation Function.
CoRR, 2019

Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation.
Proceedings of the Machine Learning for Health Workshop, 2019

Detecting cognitive impairments by agreeing on interpretations of linguistic features.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power.
Proceedings of the 5th Workshop on Noisy User-generated Text, 2019

2018
The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech.
CoRR, 2018

Isolating effects of age with fair representation learning when assessing dementia.
CoRR, 2018

Semi-supervised classification by reaching consensus among modalities.
CoRR, 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, 2018

Findings of the E2E NLG Challenge.
Proceedings of the 11th International Conference on Natural Language Generation, 2018

2017
Referenceless Quality Estimation for Natural Language Generation.
CoRR, 2017

Data-driven Natural Language Generation: Paving the Road to Success.
CoRR, 2017

The E2E Dataset: New Challenges For End-to-End Generation.
Proceedings of the 18th Annual SIGdial Meeting on Discourse and Dialogue, 2017

Hybrid chat and task dialogue for more engaging HRI using reinforcement learning.
Proceedings of the 26th IEEE International Symposium on Robot and Human Interactive Communication, 2017

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

Why We Need New Evaluation Metrics for NLG.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

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

2016
The aNALoGuE Challenge: Non Aligned Language GEneration.
Proceedings of the INLG 2016, 2016

Crowd-sourcing NLG Data: Pictures Elicit Better Data.
Proceedings of the INLG 2016, 2016

2015
Towards Artificial Emotions to Assist Social Coordination in HRI.
Int. J. Soc. Robotics, 2015

Emotionally expressive robot behavior improves human-robot collaboration.
Proceedings of the 24th IEEE International Symposium on Robot and Human Interactive Communication, 2015

It's Not the Way You Look, It's How You Move: Validating a General Scheme for Robot Affective Behaviour.
Proceedings of the Human-Computer Interaction - INTERACT 2015, 2015

Modeling Human-Robot Collaboration in a Simulated Environment.
Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction, 2015

2014
The Tutorbot Corpus ― A Corpus for Studying Tutoring Behaviour in Multiparty Face-to-Face Spoken Dialogue.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Human-robot collaborative tutoring using multiparty multimodal spoken dialogue.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2014

A design model of emotional body expressions in non-humanoid robots.
Proceedings of the second international conference on Human-agent interaction, 2014

2013
Emotionally Driven Robot Control Architecture for Human-Robot Interaction.
Proceedings of the Towards Autonomous Robotic Systems - 14th Annual Conference, 2013

Tutoring Robots - Multiparty Multimodal Social Dialogue with an Embodied Tutor.
Proceedings of the Innovative and Creative Developments in Multimodal Interaction Systems, 2013


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