HeidelTime: High Quality Rule-Based Extraction and Normalization of Temporal Expressions

By Jannik Strotgen, Michael Gertz. International Workshop on Semantic Evaluation, 2010

395 citations recorded by the source corpus.

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YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: Extended Abstract (2013, unknown): “More recent work in this area is from Strötgen and Gertz [63].”
SUTime: A library for recognizing and normalizing time expressions (2012, background): “• HeidelTime (Strötgen and Gertz, 2010):7 the bestperforming system from SemEval-2 — also a rulebased system.”
Temporal Common Sense Acquisition with Minimal Supervision (2020, background): “Prior works have focused on the extraction and normalization of temporal expressions (Strötgen and Gertz, 2010; Angeli et al., 2012; Lee et al., 2014; Vashishtha et al., 2019), temporal relation extraction (Ning et al.”
“Going on a vacation” takes longer than “Going for a walk”: A Study of Temporal Commonsense Understanding (2019, background): “Most recent works include the extraction and normalization of temporal expressions (Strötgen and Gertz, 2010; Lee et al., 2014), temporal relation extraction (Ning et al.”
Q-TIE: A Lightweight and Generalizable Re-ranking Framework for Temporal Information Retrieval (2026, unknown): “…task to extract temporal intent from queries – is rooted in temporal expression understanding in NLP. Early work has taken a rule-based approach (Strötgen and Gertz, 2010; Chang and Man-ning, 2012; Bethard, 2013), looking up tokens in a normalization lexicon and mapping them to a specific…”