A survey that organizes temporal question answering research via a unified view of corpus temporality, question temporality, and model capabilities while reviewing neural, transformer, and LLM advances plus benchmarks.
InProceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1605–1615, Melbourne, Australia
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It's High Time: A Survey of Temporal Question Answering
A survey that organizes temporal question answering research via a unified view of corpus temporality, question temporality, and model capabilities while reviewing neural, transformer, and LLM advances plus benchmarks.