activity
20192024
most citedTowards Detecting Need for Empathetic Response in Motivational Interviewing

6 citations · 8 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2024

PhilHumans: Benchmarking Machine Learning for Personal Health

Vadim Liventsev, Vivek Kumar, Allmin Pradhap Singh Susaiyah +14

The use of machine learning in Healthcare has the potential to improve patient outcomes as well as broaden the reach and affordability of Healthcare. The history of other applicati…

cs.CL20216 cited

Towards Detecting Need for Empathetic Response in Motivational Interviewing

Zixiu Wu, Rim Helaoui, Vivek Kumar +2

Empathetic response from the therapist is key to the success of clinical psychotherapy, especially motivational interviewing. Previous work on computational modelling of empathy in…

cs.CL20192 cited

Transformer-based Cascaded Multimodal Speech Translation

Zixiu Wu, Ozan Caglayan, Julia Ive +2

This paper describes the cascaded multimodal speech translation systems developed by Imperial College London for the IWSLT 2019 evaluation campaign. The architecture consists of an…

cs.CL2019

Imperial College London Submission to VATEX Video Captioning Task

Ozan Caglayan, Zixiu Wu, Pranava Madhyastha +2

This paper describes the Imperial College London team's submission to the 2019' VATEX video captioning challenge, where we first explore two sequence-to-sequence models, namely a r…

cs.CL2019

Predicting Actions to Help Predict Translations

Zixiu Wu, Julia Ive, Josiah Wang +2

We address the task of text translation on the How2 dataset using a state of the art transformer-based multimodal approach. The question we ask ourselves is whether visual features…