Papers with modelling
Limits of Theory of Mind Modelling in Dialogue-Based Collaborative Plan Acquisition (2024.acl-long)
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| Challenge: | Recent work on dialogue-based collaborative plan acquisition (CPA) suggests Theory of Mind (ToM) modelling can improve missing knowledge prediction in settings with asymmetric skill-sets and knowledge. |
| Approach: | They propose to use task-specific constraints to represent plans as graphs and exploit task-related constraints to improve missing knowledge prediction in CPA. |
| Outcome: | The proposed model improves missing knowledge prediction in contexts with asymmetric skill-sets and knowledge, but the improvements diminish . the proposed model is compared with baseline models and found to be more effective than existing models. |
Problem-solving Recognition in Scientific Text (2022.lrec-1)
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| Challenge: | Existing work on problem-solving is not computational, is not adapted to scientific text, or has been narrow in scope. |
| Approach: | They propose an algorithm which can generate virtual instructors from automatically annotated texts. |
| Outcome: | The proposed algorithm can recognise problem-solving expressions in scientific texts with high accuracy. |
Improving Sentence Boundary Detection for Spoken Language Transcripts (2020.lrec-1)
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| Challenge: | Using data expansion and transfer learning, we find that data expansion does not always improve results. |
| Approach: | They propose to divide spoken language into sentence-like units using Topological Fields model . they also propose to use data from the same domain to test different ML architectures . |
| Outcome: | The proposed model improves the detection of boundary detection in spoken dialogues compared to a sequence tagging approach. |