
Debug dataset for testing the codebase of the paper “Local Topology Measures of Contextual Language Model Latent Spaces With Applications to Dialogue Term Extraction” published at the 25th Meeting of the Special Interest Group on Discourse and Dialogue, Kyoto, Japan (SIGDIAL 2024).
Topological Data Analysis, Persistent Homology, Topological Deep Learning, Machine learning, Deep learning, Task-oriented Dialogue Systems, TDA, Term Extraction, Transfer learning
Topological Data Analysis, Persistent Homology, Topological Deep Learning, Machine learning, Deep learning, Task-oriented Dialogue Systems, TDA, Term Extraction, Transfer learning
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
