Papers › Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text
Lukas Lange, Anastasiia Iurshina, Heike Adel, Jannik Strötgen
Although temporal tagging is still dominated by rule-based systems, there have been recent attempts at neural temporal taggers. However, all of them focus on monolingual settings. In this paper, we explore multilingual methods for the extraction of temporal expressions from text and investigate adversarial training for aligning embedding spaces to one common space. With this, we create a single multilingual model that can also be transferred to unseen languages and set the new state of the art in those cross-lingual transfer experiments.
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Temporal Tagging | Basque TimeBank | Lange et al. | F1 | 47.87 | #1 of 1 | Archive leaderboard | report |
| Temporal Tagging | Catalan TimeBank 1.0 | Lange et al. | F1 | 64.21 | #1 of 1 | Archive leaderboard | report |
| Temporal Tagging | French Timebank | Lange et al. | F1 | 62.58 | #1 of 1 | Archive leaderboard | report |
| Temporal Tagging | KRAUTS | Lange et al. | F1 | 66.53 | #1 of 1 | Archive leaderboard | report |
| Temporal Tagging | Spanish TimeBank 1.0 | Lange et al. | F1 | 79.55 | #1 of 1 | Archive leaderboard | report |
| Temporal Tagging | TempEval-3 | Lange et al. | F1 | 74.8 | #5 of 5 | Archive leaderboard | report |
| Temporal Tagging | TimeBankPT | Lange et al. | F1 | 75.47 | #1 of 1 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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