The DOI matches its Crossref record.
When Was It Written? Automatically Determining Publication Dates
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“[Garcia Fernandez et al. 2011] proposed a system to automatically determine the publication date of French historical documents based on unsupervised and supervised algorithms.”
From Survey of Temporal Information Retrieval and Related Applications (2015) · cites this paper as Garcia Fernandez et al. 2011
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 11
- Albert, P., Badin, F., Delorme, M., Devos, N., Papazoglou, S., Simard, J.: Décennie d’un article de journal par analyse statistique et lexicale. In: DEFT 2010, TALN (2010)
- Galibert, O.: Approches et méthodologies pour la réponse automatique à des questions adaptées à un cadre interactif en domaine ouvert. Ph.D. thesis, Université Paris-Sud 11, Orsay, France (2009)
- Joachims, T.: Making large-scale SVM learning practical. In: Advances in Kernel Methods - Support Vector Learning. MIT Press, Cambridge (1999)
- Kanhabua, N., Nørvåg, K.: Improving temporal language models for determining time of non-timestamped documents. In: Research and Advanced Technology for Digital Libraries, pp. 358–370 (2008) · DOI · Paper page
- Kanhabua, N., Nørvåg, K.: Using temporal language models for document dating. In: Buntine, W., Grobelnik, M., Mladenić, D., Shawe-Taylor, J. (eds.) ECML PKDD 2009. LNCS, vol. 5782, pp. 738–741. Springer, Heidelberg (2009) · DOI
- Michel, J.B., Shen, Y.K., Aiden, A.P., Veres, A., Gray, M.K., The Google Books Team, Pickett, J.P., Hoiberg, D., Clancy, D., Norvig, P., Orwant, J., Pinker, S., Nowak, M.A., Aiden, E.L.: Quantitative Analysis of Culture Using Millions of Digitized Books. Science 331(6014), 176–182 (2011) · DOI
- Morik, K., Brockhausen, P., Joachims, T.: Combining statistical learning with a knowledge-based approach - a case study in intensive care monitoring. In: Proceedings of ICML 1999, pp. 268–277. Morgan Kaufmann Publishers Inc., San Francisco (1999)
- Nørvåg, K.: Supporting temporal text-containment queries in temporal document databases. Data & Knowledge Engineering 49(1), 105–125 (2004) · DOI
- Rosset, S., Galibert, O., Bernard, G., Bilinski, E., Adda, G.: The LIMSI participation to the QAst track. In: Working Notes of CLEF 2008 Workshop, Aarhus, Danemark (2008) · DOI
- Schmid, H.: Probabilistic part-of-speech tagging using decision trees. In: International Conference on New Methods in Language Processing, pp. 44–49 (1994)
- Vapnik, V.N.: Statistical Learning Theory. John Wiley and Sons, Chichester (1998)
Cited by
Sorted by citations
Survey of Temporal Information Retrieval and Related Applications
Campos, R., Dias, G., Jorge, A. M., & Jatowt, A. (2015) · ACM Computing Surveys · doi:10.1145/2619088 · Cited by 262
Metadata
- Authors
- Garcia-Fernandez, A., Ligozat, A.-L., Dinarelli, M., & Bernhard, D.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2011
- Pages
- 221-236
- ISSN
- 0302-9743
- 1611-3349
- Cited by
- 11
- References
- 0
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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