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Found 6 papers, 1 papers with code
Towards Low-Resource Real-Time Assessment of Empathy in Counselling
Gauging therapist empathy in counselling is an important component of understanding counselling quality.
Anno-MI: A Dataset of Expert-Annotated Counselling Dialogues
Research on natural language processing for counselling dialogue analysis has seen substantial development in recent years, but access to this area remains extremely limited due to the lack of publicly available expert-annotated therapy conversations.
Towards Detecting Need for Empathetic Response in Motivational Interviewing
Empathetic response from the therapist is key to the success of clinical psychotherapy, especially motivational interviewing.
Transformer-based Cascaded Multimodal Speech Translation
Upon conducting extensive experiments, we found that (i) the explored visual integration schemes often harm the translation performance for the transformer and additive deliberation, but considerably improve the cascade deliberation; (ii) the transformer and cascade deliberation integrate the visual modality better than the additive deliberation, as shown by the incongruence analysis.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Imperial College London Submission to VATEX Video Captioning Task
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 recurrent (GRU) model and a transformer model, which generate captions from the I3D action features.
Predicting Actions to Help Predict Translations
The question we ask ourselves is whether visual features can support the translation process, in particular, given that this is a dataset extracted from videos, we focus on the translation of actions, which we believe are poorly captured in current static image-text datasets currently used for multimodal translation.
