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Jekaterina Novikova
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Journal Articles
- 2020
- [j2]Ondrej Dusek, Jekaterina Novikova, Verena Rieser:
Evaluating the state-of-the-art of End-to-End Natural Language Generation: The E2E NLG challenge. Comput. Speech Lang. 59: 123-156 (2020) - 2015
- [j1]Jekaterina Novikova, Leon Watts:
Towards Artificial Emotions to Assist Social Coordination in HRI. Int. J. Soc. Robotics 7(1): 77-88 (2015)
Conference and Workshop Papers
- 2023
- [c29]Malikeh Ehghaghi, Marija Stanojevic, Ali Akram, Jekaterina Novikova:
Factors Affecting the Performance of Automated Speaker Verification in Alzheimer's Disease Clinical Trials. ClinicalNLP@ACL 2023: 218-227 - 2022
- [c28]Malikeh Ehghaghi, Frank Rudzicz, Jekaterina Novikova:
Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data. W-NUT@COLING 2022: 24-37 - [c27]Jekaterina Novikova:
Impact of Environmental Noise on Alzheimer's Disease Detection from Speech: Should You Let a Baby Cry? W-NUT@COLING 2022: 51-61 - [c26]Mashrura Tasnim, Jekaterina Novikova:
Cost-effective Models for Detecting Depression from Speech. ICMLA 2022: 1687-1694 - 2021
- [c25]Jekaterina Novikova:
Robustness and Sensitivity of BERT Models Predicting Alzheimer's Disease from Text. W-NUT 2021: 334-339 - [c24]Aparna Balagopalan, Jekaterina Novikova:
Comparing Acoustic-Based Approaches for Alzheimer's Disease Detection. Interspeech 2021: 3800-3804 - 2020
- [c23]Aparna Balagopalan, Ksenia Shkaruta, Jekaterina Novikova:
Impact of ASR on Alzheimer's Disease Detection: All Errors are Equal, but Deletions are More Equal than Others. W-NUT@EMNLP 2020: 159-164 - [c22]Benjamin Eyre, Aparna Balagopalan, Jekaterina Novikova:
Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach. W-NUT@EMNLP 2020: 193-199 - [c21]Aparna Balagopalan, Benjamin Eyre, Frank Rudzicz, Jekaterina Novikova:
To BERT or not to BERT: Comparing Speech and Language-Based Approaches for Alzheimer's Disease Detection. INTERSPEECH 2020: 2167-2171 - 2019
- [c20]Jekaterina Novikova, Aparna Balagopalan, Ksenia Shkaruta, Frank Rudzicz:
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power. W-NUT@EMNLP 2019: 431-443 - [c19]Zining Zhu, Jekaterina Novikova, Frank Rudzicz:
Detecting cognitive impairments by agreeing on interpretations of linguistic features. NAACL-HLT (1) 2019: 1431-1441 - [c18]Aparna Balagopalan, Jekaterina Novikova, Matthew B. A. McDermott, Bret Nestor, Tristan Naumann, Marzyeh Ghassemi:
Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation. ML4H@NeurIPS 2019: 202-219 - 2018
- [c17]Ondrej Dusek, Jekaterina Novikova, Verena Rieser:
Findings of the E2E NLG Challenge. INLG 2018: 322-328 - [c16]Jekaterina Novikova, Ondrej Dusek, Verena Rieser:
RankME: Reliable Human Ratings for Natural Language Generation. NAACL-HLT (2) 2018: 72-78 - 2017
- [c15]Jekaterina Novikova, Christian Dondrup, Ioannis Papaioannou, Oliver Lemon:
Sympathy Begins with a Smile, Intelligence Begins with a Word: Use of Multimodal Features in Spoken Human-Robot Interaction. RoboNLP@ACL 2017: 86-94 - [c14]Jekaterina Novikova, Ondrej Dusek, Amanda Cercas Curry, Verena Rieser:
Why We Need New Evaluation Metrics for NLG. EMNLP 2017: 2241-2252 - [c13]Christian Dondrup, Ioannis Papaioannou, Jekaterina Novikova, Oliver Lemon:
Introducing a ROS based planning and execution framework for human-robot interaction. ISIAA@ICMI 2017: 27-28 - [c12]Ioannis Papaioannou, Christian Dondrup, Jekaterina Novikova, Oliver Lemon:
Hybrid chat and task dialogue for more engaging HRI using reinforcement learning. RO-MAN 2017: 593-598 - [c11]Jekaterina Novikova, Ondrej Dusek, Verena Rieser:
The E2E Dataset: New Challenges For End-to-End Generation. SIGDIAL Conference 2017: 201-206 - 2016
- [c10]Jekaterina Novikova, Verena Rieser:
The aNALoGuE Challenge: Non Aligned Language GEneration. INLG 2016: 168-170 - [c9]Jekaterina Novikova, Oliver Lemon, Verena Rieser:
Crowd-sourcing NLG Data: Pictures Elicit Better Data. INLG 2016: 265-273 - 2015
- [c8]Jekaterina Novikova, Leon Watts, Tetsunari Inamura:
Modeling Human-Robot Collaboration in a Simulated Environment. HRI (Extended Abstracts) 2015: 181-182 - [c7]Jekaterina Novikova, Gang Ren, Leon Watts:
It's Not the Way You Look, It's How You Move: Validating a General Scheme for Robot Affective Behaviour. INTERACT (3) 2015: 239-258 - [c6]Jekaterina Novikova, Leon Adam Watts, Tetsunari Inamura:
Emotionally expressive robot behavior improves human-robot collaboration. RO-MAN 2015: 7-12 - 2014
- [c5]Jekaterina Novikova, Leon Adam Watts:
A design model of emotional body expressions in non-humanoid robots. HAI 2014: 353-360 - [c4]Samer Al Moubayed, Jonas Beskow, Bajibabu Bollepalli, Joakim Gustafson, Ahmed Hussen Abdelaziz, Martin Johansson, Maria Koutsombogera, José David Águas Lopes, Jekaterina Novikova, Catharine Oertel, Gabriel Skantze, Kalin Stefanov, Gül Varol:
Human-robot collaborative tutoring using multiparty multimodal spoken dialogue. HRI 2014: 112-113 - [c3]Maria Koutsombogera, Samer Al Moubayed, Bajibabu Bollepalli, Ahmed Hussen Abdelaziz, Martin Johansson, José David Águas Lopes, Jekaterina Novikova, Catharine Oertel, Kalin Stefanov, Gül Varol:
The Tutorbot Corpus ― A Corpus for Studying Tutoring Behaviour in Multiparty Face-to-Face Spoken Dialogue. LREC 2014: 4196-4201 - 2013
- [c2]Samer Al Moubayed, Jonas Beskow, Bajibabu Bollepalli, Ahmed Hussen Abdelaziz, Martin Johansson, Maria Koutsombogera, José David Águas Lopes, Jekaterina Novikova, Catharine Oertel, Gabriel Skantze, Kalin Stefanov, Gül Varol:
Tutoring Robots - Multiparty Multimodal Social Dialogue with an Embodied Tutor. eNTERFACE 2013: 80-113 - [c1]Jekaterina Novikova, Swen E. Gaudl, Joanna Bryson:
Emotionally Driven Robot Control Architecture for Human-Robot Interaction. TAROS 2013: 261-263
Informal and Other Publications
- 2024
- [i31]Ali Akram, Marija Stanojevic, Malikeh Ehghaghi, Jekaterina Novikova:
Zero-Shot Multi-Lingual Speaker Verification in Clinical Trials. CoRR abs/2404.01981 (2024) - 2023
- [i30]Mashrura Tasnim, Jekaterina Novikova:
Cost-effective Models for Detecting Depression from Speech. CoRR abs/2302.09214 (2023) - [i29]Mashrura Tasnim, Malikeh Ehghaghi, Brian Diep, Jekaterina Novikova:
DEPAC: a Corpus for Depression and Anxiety Detection from Speech. CoRR abs/2306.12443 (2023) - [i28]Malikeh Ehghaghi, Marija Stanojevic, Ali Akram, Jekaterina Novikova:
Factors Affecting the Performance of Automated Speaker Verification in Alzheimer's Disease Clinical Trials. CoRR abs/2306.12444 (2023) - 2022
- [i27]Jekaterina Novikova:
Impact of Acoustic Noise on Alzheimer's Disease Detection from Speech: Should You Let Baby Cry? CoRR abs/2203.17110 (2022) - [i26]Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou:
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR abs/2206.11249 (2022) - [i25]Jekaterina Novikova, Ksenia Shkaruta:
DECK: Behavioral Tests to Improve Interpretability and Generalizability of BERT Models Detecting Depression from Text. CoRR abs/2209.05286 (2022) - [i24]Malikeh Ehghaghi, Frank Rudzicz, Jekaterina Novikova:
Data-driven Approach to Differentiating between Depression and Dementia from Noisy Speech and Language Data. CoRR abs/2210.03303 (2022) - [i23]Brian Diep, Marija Stanojevic, Jekaterina Novikova:
Multi-modal deep learning system for depression and anxiety detection. CoRR abs/2212.14490 (2022) - 2021
- [i22]Aparna Balagopalan, Jekaterina Novikova:
Comparing Acoustic-based Approaches for Alzheimer's Disease Detection. CoRR abs/2106.01555 (2021) - [i21]Jekaterina Novikova:
Robustness and Sensitivity of BERT Models Predicting Alzheimer's Disease from Text. CoRR abs/2109.11888 (2021) - 2020
- [i20]Aparna Balagopalan, Benjamin Eyre, Frank Rudzicz, Jekaterina Novikova:
To BERT or Not To BERT: Comparing Speech and Language-based Approaches for Alzheimer's Disease Detection. CoRR abs/2008.01551 (2020) - [i19]Benjamin Eyre, Aparna Balagopalan, Jekaterina Novikova:
Fantastic Features and Where to Find Them: Detecting Cognitive Impairment with a Subsequence Classification Guided Approach. CoRR abs/2010.06579 (2020) - [i18]Aparna Balagopalan, Jekaterina Novikova:
Augmenting BERT Carefully with Underrepresented Linguistic Features. CoRR abs/2011.06153 (2020) - 2019
- [i17]Ondrej Dusek, Jekaterina Novikova, Verena Rieser:
Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge. CoRR abs/1901.07931 (2019) - [i16]Aparna Balagopalan, Ksenia Shkaruta, Jekaterina Novikova:
Impact of ASR on Alzheimer's Disease Detection: All Errors are Equal, but Deletions are More Equal than Others. CoRR abs/1904.01684 (2019) - [i15]Yuchen Li, Frank Rudzicz, Jekaterina Novikova:
Variations on the Chebyshev-Lagrange Activation Function. CoRR abs/1906.10064 (2019) - [i14]Jekaterina Novikova, Aparna Balagopalan, Ksenia Shkaruta, Frank Rudzicz:
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power. CoRR abs/1910.00065 (2019) - [i13]Aparna Balagopalan, Jekaterina Novikova, Matthew B. A. McDermott, Bret Nestor, Tristan Naumann, Marzyeh Ghassemi:
Cross-Language Aphasia Detection using Optimal Transport Domain Adaptation. CoRR abs/1912.04370 (2019) - 2018
- [i12]Jekaterina Novikova, Ondrej Dusek, Verena Rieser:
RankME: Reliable Human Ratings for Natural Language Generation. CoRR abs/1803.05928 (2018) - [i11]Zining Zhu, Jekaterina Novikova, Frank Rudzicz:
Semi-supervised classification by reaching consensus among modalities. CoRR abs/1805.09366 (2018) - [i10]Zining Zhu, Jekaterina Novikova, Frank Rudzicz:
Isolating effects of age with fair representation learning when assessing dementia. CoRR abs/1807.07217 (2018) - [i9]Zining Zhu, Jekaterina Novikova, Frank Rudzicz:
Detecting cognitive impairments by agreeing on interpretations of linguistic features. CoRR abs/1808.06570 (2018) - [i8]Ondrej Dusek, Jekaterina Novikova, Verena Rieser:
Findings of the E2E NLG Challenge. CoRR abs/1810.01170 (2018) - [i7]Aparna Balagopalan, Jekaterina Novikova, Frank Rudzicz, Marzyeh Ghassemi:
The Effect of Heterogeneous Data for Alzheimer's Disease Detection from Speech. CoRR abs/1811.12254 (2018) - 2017
- [i6]Jekaterina Novikova, Christian Dondrup, Ioannis Papaioannou, Oliver Lemon:
Sympathy Begins with a Smile, Intelligence Begins with a Word: Use of Multimodal Features in Spoken Human-Robot Interaction. CoRR abs/1706.02757 (2017) - [i5]Jekaterina Novikova, Ondrej Dusek, Verena Rieser:
The E2E Dataset: New Challenges For End-to-End Generation. CoRR abs/1706.09254 (2017) - [i4]Jekaterina Novikova, Ondrej Dusek, Verena Rieser:
Data-driven Natural Language Generation: Paving the Road to Success. CoRR abs/1706.09433 (2017) - [i3]Jekaterina Novikova, Ondrej Dusek, Amanda Cercas Curry, Verena Rieser:
Why We Need New Evaluation Metrics for NLG. CoRR abs/1707.06875 (2017) - [i2]Ondrej Dusek, Jekaterina Novikova, Verena Rieser:
Referenceless Quality Estimation for Natural Language Generation. CoRR abs/1708.01759 (2017) - 2016
- [i1]Jekaterina Novikova, Oliver Lemon, Verena Rieser:
Crowd-sourcing NLG Data: Pictures Elicit Better Data. CoRR abs/1608.00339 (2016)
Coauthor Index
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