based on multimodality theory and situated learning theory, this paper puts forward a situated multi-modal simultaneous interpreting teaching model supported by virtual reality technology, and has carried out an experimental simultaneous interpreting teaching among senior translation majors in our university ...
PDF:SIMMC: Situated Interactive Multi-modal Conversational Data Collection and Evaluation Platform Abstract As digital virtual assistants become ubiquitous, it becomes increasingly important to understand the situated behavior of users as they interact with these assistants. To this end, we introduce SIMMC...
Situated robot learning for multi-modal instruction and imitation of grasping - Steil, Ro虉thling, et al. - 2004 () Citation Context ...er level goals. In previous works, we proposed an algorithm based on pairs of an initial pre-grasp and a final grasp posture which are selected from a...
As digital virtual assistants become ubiquitous, it becomes increasingly important to understand the situated behaviour of users as they interact with these assistants. To this end, we introduce SIMMC, an extension to ParlAI for multi-modal conversational data collection and system evaluation. SIMMC ...
If you find this repository useful, please considercitingand STARing this list. Feel free to share this list with others! Overview Surveys Reasoning Planning Manipulation Simulation Frameworks LLM-Driven Robots Risk Enacting Discrimination, Violence, and Unlawful Actions:arXiv, Jun 2024. [Paper] ...
Multi-modal Reference Resolution in Situated Dialogue by Integrating Linguistic and Extra-Linguistic Clues. In Proceedings of IJCNLP, Number 2003, pp. 84-92.Iida, R., M. Yasuhara, and T. Tokunaga (2011). Multi-modal Reference Resolution in Situated Dialogue by Integrating Linguistic and Extra-...
Human situated language processing involves the interaction of linguistic and visual processing and this cross-modal integration helps to resolve ambiguities and predict what will be revealed next in an unfolding sentence during spoken communication. However, most state-of-the-art parsing approaches rely...
So, some vehicles might depart from depots that are situated at a location that is less ideal for an optimal delivery. The offline computation problem model has the luxury of choosing the departure depots for a respective vehicle in an optimal manner. All the aforementioned difference between ...
To forecast the landslides displacement, a hybrid machine learning model is proposed, in which the Variational Modal Decomposition (VMD) is implemented to decompose the measured total surface displacement into the trend and periodic components. The Double Exponential Smoothing algorithm (DES) and Extreme...