Papers by Osman Ramadan
Large-Scale Multi-Domain Belief Tracking with Knowledge Sharing (P18-2)
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| Challenge: | Existing approaches to scalability of dialogue belief tracking are dependent on the ontology of the dialogue . current approaches are not scalable to multi-domain dialogues because of the effort required to define a semantic dictionary for each domain. |
| Approach: | They propose a model that utilizes semantic similarity between dialogue utterances and ontology terms to allow information to be shared across domains. |
| Outcome: | The proposed model outperforms state-of-the-art models in multi-domain dialogue tracking tasks while maintaining high quality. |
MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling (D18-1)
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Paweł Budzianowski, Tsung-Hsien Wen, Bo-Hsiang Tseng, Iñigo Casanueva, Stefan Ultes, Osman Ramadan, Milica Gašić
| Challenge: | a dataset of 10k human-human written conversations is one order of magnitude larger than previous annotated task-oriented corpora. |
| Approach: | They propose to collect 10k human-human written conversations from a crowd-sourced dataset using crowd-sourcing. |
| Outcome: | The proposed dataset is one order of magnitude larger than previous annotated task-oriented corpora and shows the usability of the data and sets a baseline for future studies. |