| Challenge: | Existing systems that extract temporal information from text can be useful for natural language understanding. |
| Approach: | They propose a system that extracts temporal information from text and normalizes it to a standard format. |
| Outcome: | The proposed system achieves state-of-the-art performance and incorporates the most recent progress. |
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| Challenge: | Existing temporal extraction systems that extract temporal relations can be improved by using a resource that provides prior knowledge of the temporal order that events usually follow. |
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Temporal Information Extraction by Predicting Relative Time-lines (D18-1)
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| Challenge: | This tutorial will provide an introduction to various methods for automating the extraction, conceptualization and prediction of events and their relations. |
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XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction (2022.findings-naacl)
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TimeBench: A Comprehensive Evaluation of Temporal Reasoning Abilities in Large Language Models (2024.acl-long)
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| Challenge: | Grasping the concept of time is a fundamental facet of human cognition. |
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Spatial and Temporal Language Understanding: Representation, Reasoning, and Grounding (2024.naacl-tutorials)
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| Challenge: | This tutorial provides an overview of cutting edge research on spatial and temporal language understanding. |
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