Temporal Context Representation and Reasoning
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1099-1103.
Abstract
This paper demonstrates how a model for temporal context reasoning can be implemented. The approach is to detect temporally related events in natural language text and convert the events into an enriched logical representation. Reasoning is provided by a first order logic theorem prover adapted to text. Results show that temporal context reasoning boosts the performance of a Question Answering system.
Dan I. Moldovan, Christine Clark, and Sanda M. Harabagiu. 2005. Temporal Context Representation and Reasoning. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 1099–1103. https://ijcai.org/proceedings/2005/200
Moldovan, D. I., Clark, C., & Harabagiu, S. M. (2005). Temporal Context Representation and Reasoning. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 (pp. 1099–1103). IJCAI. https://ijcai.org/proceedings/2005/200
@inproceedings{ijcai2005p200,
title = {Temporal Context Representation and Reasoning},
author = {Moldovan, Dan I. and Clark, Christine and Harabagiu, Sanda M.},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {1099--1103},
year = {2005},
url = {https://ijcai.org/proceedings/2005/200},
}
TY - CPAPER TI - Temporal Context Representation and Reasoning AU - Moldovan, Dan I. AU - Clark, Christine AU - Harabagiu, Sanda M. T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 1099 EP - 1103 UR - https://ijcai.org/proceedings/2005/200 ER -Copied
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