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Related Questions
- What are some common challenges faced by natural language processing (NLP) models when dealing with temporal reasoning?
- How does the implementation of temporal reasoning in knowledge graph-based question answering systems affect the system's inference capabilities?
- What are some limitations of using pre-trained language models for temporal reasoning in such systems?
- How can temporal reasoning impact the accuracy and robustness of knowledge graph-based question answering systems?
- What are some specific challenges related to handling dates, times, and periods in temporal reasoning?
- Can you elaborate on the differences between encoding temporal relationships as edges vs. nodes in a graph?
- How does the handling of multiple temporal relationships and their propagation impact the performance of temporal reasoning in these systems?
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