Temporal Information Extraction (State of the art)

Results

The following results refers to the TempEval-3 challenge, the last evaluation exercise.

Task A: Temporal expression extraction and normalisation

The table shows the best result for each system. Different runs per system are not shown.

System name (best run)	Short description	Main publication	Identification						Normalisation		Overall score	Software	License
			Strict matching			Lenient matching			Accuracy
			Pre.	Rec.	F1	Pre.	Rec.	F1	Type	Value
HeidelTime (t)		Stro ̈tgen et al., 2013	83.85	78.99	81.34	93.08	87.68	90.30	90.91	85.95	77.61	Download
NavyTime (1,2)		Chambers et al., 2013	78.72	80.43	79.57	89.36	91.30	90.32	88.90	78.58	70.97	na
ManTIME (4)		Filannino et al., 2013	78.86	70.29	74.33	95.12	84.78	89.66	86.31	76.92	68.97	Demo & Download
SUTime		Chang et al., 2013	78.72	80.43	79.57	89.36	91.30	90.32	88.90	74.60	67.38	Demo & Download
ATT (2)		Jung et al., 2013	90.57	69.57	78.69	98.11	75.36	85.25	91.34	76.91	65.57	na
ClearTK (1,2)		Bethard, 2013	85.94	79.71	82.71	93.75	86.96	90.23	93.33	71.66	64.66	Download]
JU-CSE		Kolya et al., 2013	81.51	70.29	75.49	93.28	80.43	86.38	87.39	73.87	63.81	na
KUL (2)		Kolomiyets et al., 2013	76.99	63.04	69.32	92.92	76.09	83.67	88.56	75.24	62.95	na
FSS-TimEx		Zavarella et al., 2013	52.03	46.38	49.04	90.24	80.43	85.06	81.08	68.47	58.24	na

Challenges

• TempEval, Temporal Relation Identification, 2007: web page
• TempEval-2, Evaluating Events, Time Expressions, and Temporal Relations, 2010: web page
• TempEval-3, Evaluating Time Expressions, Events, and Temporal Relations, 2013: web page

References

• UzZaman, N., Llorens, H., Derczynski, L., Allen, J., Verhagen, M., and Pustejovsky, J. Semeval-2013 task 1: Tempeval-3: Evaluating time expressions, events, and temporal relations. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013) (Atlanta, Georgia, USA, June 2013), Association for Computational Linguistics, pp. 1–9.
• Bethard, S. ClearTK-TimeML: A minimalist approach to tempeval 2013. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013) (Atlanta, Georgia, USA, June 2013), vol. 2, Association for Computational Linguistics, Association for Computational Linguistics, pp. 10–14.
• Stro ̈tgen, J., Zell, J., and Gertz, M. Heideltime: Tuning english and developing spanish resources for tempeval-3. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013) (Atlanta, Georgia, USA, June 2013), Association for Computational Linguistics, pp. 15–19.
• Jung, H., and Stent, A. ATT1: Temporal annotation using big windows and rich syntactic and semantic features. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013) (Atlanta, Georgia, USA, June 2013), Association for Computational Linguistics, pp. 20–24.
• Filannino, M., Brown, G., and Nenadic, G. ManTIME: Temporal expression identification and normalization in the Tempeval-3 challenge. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evalu- ation (SemEval 2013) (Atlanta, Georgia, USA, June 2013), Association for Computational Linguistics, pp. 53–57.
• Zavarella, V., and Tanev, H. FSS-TimEx for tempeval-3: Extracting temporal information from text. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013) (Atlanta, Georgia, USA, June 2013), Association for Computational Linguistics, pp. 58–63.
• Kolya, A. K., Kundu, A., Gupta, R., Ekbal, A., and Bandyopadhyay, S. JU_CSE: A CRF based approach to annotation of temporal expression, event and temporal relations. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013) (Atlanta, Georgia, USA, June 2013), Association for Computational Linguistics, pp. 64–72.
• Chambers, N. Navytime: Event and time ordering from raw text. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013) (Atlanta, Georgia, USA, June 2013), Association for Computational Linguistics, pp. 73–77.
• Chang, A., and Manning, C. D. SUTime: Evaluation in TempEval-3. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013) (Atlanta, Georgia, USA, June 2013), Association for Computational Linguistics, pp. 78–82.
• Kolomiyets, O., and Moens, M.-F. KUL: Data-driven approach to temporal parsing of newswire articles. In Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 2: Proceed- ings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013) (Atlanta, Georgia, USA, June 2013), Association for Computational Linguistics, pp. 83–87.
• Laokulrat, N., Miwa, M., Tsuruoka, Y., and Chikayama, T. UTTime: Temporal relation classification using deep syntactic features. In Second Joint Conference on Lexical and Computational Se- mantics (*SEM), Volume 2: Proceedings of the Seventh International Workshop on Semantic Evaluation (SemEval 2013) (Atlanta, Georgia, USA, June 2013), Association for Computational Linguistics, pp. 88– 92.

See also

• State of the art

External links

• TimexPortal