Papers by Yuanliang Meng
Automatic Labeling of Problem-Solving Dialogues for Computational Microgenetic Learning Analytics (L18-1)
Copied to clipboard
| Challenge: | This paper presents a recurrent neural network model to automate the analysis of students' computational thinking in problem-solving dialogue. |
| Approach: | They propose a recurrent neural network model to automate the analysis of students' computational thinking in problem-solving dialogue. |
| Outcome: | The proposed model outperforms the baseline model and outperformed the nave model by a large margin. |
Triad-based Neural Network for Coreference Resolution (C18-1)
Copied to clipboard
| Challenge: | Entity coreference resolution aims to identify mentions that refer to the same entity. |
| Approach: | They propose a triad-based neural network system that generates affinity scores between entity mentions for coreference resolution. |
| Outcome: | The proposed system generates affinity scores between mentions for coreference resolution. |
Context-Aware Neural Model for Temporal Information Extraction (P18-1)
Copied to clipboard
| Challenge: | Existing temporal information extraction systems rely on statistical learning with feature-engineered task-specific models. |
| Approach: | They propose a context-aware neural network model for temporal information extraction using a global context layer. |
| Outcome: | The proposed model outperforms existing models in terms of performance and performance . it is the first model to use NTM-like architecture to process the information from global context in discourse-scale natural text processing. |