KUMAR, VIVEK
KUMAR, VIVEK
DIPARTIMENTO DI MATEMATICA ED INFORMATICA
Creation, Analysis and Evaluation of AnnoMI, a Dataset of Expert-Annotated Counselling Dialogues †
2023-01-01 Wu, Z.; Balloccu, S.; Kumar, V.; Helaoui, R.; Reforgiato Recupero, D.; Riboni, D.
How Do You Feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment
2023-01-01 Kumar, V.; Medda, G.; reforgiato recupero, Diego.; Riboni, D.; Helaoui, R.; Fenu, G.
Knowledge Augmentation in Language Models to Overcome Domain Adaptation and Scarce Data Challenges in Clinical Domain
2023-04-27
Anno-MI: A Dataset of Expert-Annotated Counselling Dialogues
2022-01-01 Wu, Z.; Balloccu, S.; Kumar, V.; Helaoui, R.; Reiter, E.; Reforgiato Recupero, D.; Riboni, D.
K-LM: Knowledge Augmenting in Language Models Within the Scholarly Domain
2022-01-01 Kumar, V.; Reforgiato Recupero, D.; Helaoui, R.; Riboni, D.
Ensembling classical machine learning and deep learning approaches for morbidity identification from clinical notes
2021-01-01 Kumar, V.; Reforgiato Recupero, D.; Riboni, D.; Helaoui, R.
TF-IDF vs word embeddings for morbidity identification in clinical notes: An initial study
2020-01-01 Dessi, D.; Helaoui, R.; Kumar, V.; Reforgiato Recupero, D.; Riboni, D.
Towards detecting need for empathetic response in motivational interviewing
2020-01-01 Wu, Z; Helaoui, Rim; Kumar, Vivek; Diego, Reforgiato; Riboni, Daniele
| Titolo | Data di pubblicazione | Autore(i) | Rivista | Editore |
|---|---|---|---|---|
| Creation, Analysis and Evaluation of AnnoMI, a Dataset of Expert-Annotated Counselling Dialogues † | 1-gen-2023 | Wu, Z.; Balloccu, S.; Kumar, V.; Helaoui, R.; Reforgiato Recupero, D.; Riboni, D. | FUTURE INTERNET | - |
| How Do You Feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment | 1-gen-2023 | Kumar, V.; Medda, G.; reforgiato recupero, Diego.; Riboni, D.; Helaoui, R.; Fenu, G. | - | Springer Science and Business Media Deutschland GmbH |
| Knowledge Augmentation in Language Models to Overcome Domain Adaptation and Scarce Data Challenges in Clinical Domain | 27-apr-2023 | - | - | Università degli Studi di Cagliari |
| Anno-MI: A Dataset of Expert-Annotated Counselling Dialogues | 1-gen-2022 | Wu, Z.; Balloccu, S.; Kumar, V.; Helaoui, R.; Reiter, E.; Reforgiato Recupero, D.; Riboni, D. | - | - |
| K-LM: Knowledge Augmenting in Language Models Within the Scholarly Domain | 1-gen-2022 | Kumar, V.; Reforgiato Recupero, D.; Helaoui, R.; Riboni, D. | IEEE ACCESS | - |
| Ensembling classical machine learning and deep learning approaches for morbidity identification from clinical notes | 1-gen-2021 | Kumar, V.; Reforgiato Recupero, D.; Riboni, D.; Helaoui, R. | IEEE ACCESS | - |
| TF-IDF vs word embeddings for morbidity identification in clinical notes: An initial study | 1-gen-2020 | Dessi, D.; Helaoui, R.; Kumar, V.; Reforgiato Recupero, D.; Riboni, D. | - | CEUR-WS |
| Towards detecting need for empathetic response in motivational interviewing | 1-gen-2020 | Wu, Z; Helaoui, Rim; Kumar, Vivek; Diego, Reforgiato; Riboni, Daniele | - | - |