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1
EVALITA Goes Social: Tasks, Data, and Community at the 2016 Edition
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Benchmarking Multimedia Technologies with the CAMOMILE Platform: the Case of Multimodal Person Discovery at MediaEval 2015
In: LREC 2016 ; https://hal.archives-ouvertes.fr/hal-01690277 ; LREC 2016, May 2016, Portorož, Slovenia (2016)
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Overview of the Evalita 2016 Sentiment Polarity Classification Task
Barbieri, Francesco; Basile, Valerio; Croce, Danilo. - : CEUR-WS, 2016. : country:DEU, 2016. : place:Aachen, 2016
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4
Raising interest and collecting suggestions on the evalita evaluation campaign
Sprugnoli, Rachele; Patti, Viviana; Cutugno, Franco. - : CEUR-WS, 2016. : country:DEU, 2016. : place:Aachen, 2016
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EVALITA 2016: Overview of the 5th evaluation campaign of natural language processing and speech tools for Italian
Basile, Pierpaolo; Cutugno, Franco; Nissim, Malvina. - : CEUR-WS, 2016. : country:DEU, 2016. : place:Aachen, 2016
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6
Retour sur les annotations des entités nommées dans les campagnes d’évaluation françaises et comparaison avec la TEI
In: Corela, Vol 14, Iss 2 (2016) (2016)
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7
General Overview of ImageCLEF at the CLEF 2016 Labs
Abstract: The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-44564-9_25 ; This paper presents an overview of the ImageCLEF 2016 evaluation campaign, an event that was organized as part of the CLEF (Conference and Labs of the Evaluation Forum) labs 2016. ImageCLEF is an ongoing initiative that promotes the evaluation of technologies for annotation, indexing and retrieval for providing information access to collections of images in various usage scenarios and domains. In 2016, the 14th edition of ImageCLEF, three main tasks were proposed: 1) identification, multi-label classification and separation of compound figures from biomedical literature; 2) automatic annotation of general web images; and 3) retrieval from collections of scanned handwritten documents. The handwritten retrieval task was the only completely novel task this year, although the other two tasks introduced several modifications to keep the proposed tasks challenging. ; The general coordination and the handwritten retrieval task have been supported by the European Union (EU) Horizon 2020 grant READ (Recognition and Enrichment of Archival Documents) (Ref: 674943), EU project HIMANIS (JPICH programme, Spanish grant Ref: PCIN-2015-068) and MINECO/FEDER, UE under project TIN2015-70924-C2-1-R. The image annotation task is co-organized by the VisualSense (ViSen) consortium under the ERA-NET CHIST-ERA D2K 2011 Programme, jointly supported by UK EPSRC Grants EP/K01904X/1 and EP/K019082/1, French ANR Grant ANR-12-CHRI-0002-04 and Spanish MINECO Grant PCIN-2013-047. This research was supported in part by the Intramural Research Program of the National Institutes of Health (NIH), National Library of Medicine (NLM), and Lister Hill National Center for Biomedical Communications (LHNCBC). ; Villegas, M.; Mueller, H.; Seco De Herrera, AG.; Schaer, R.; Bromuri, S.; Gilbert, A.; Piras, L. (2016). General Overview of ImageCLEF at the CLEF 2016 Labs. En Experimental IR Meets Multilinguality, Multimodality, and Interaction. Springer Verlag (Germany). 267-285. https://doi.org/10.1007/978-3-319-44564-9_25 ; S ; 267 ; 285 ; Aldavert, D., Rusinol, M., Toledo, R., Llados, J.: Integrating visual and textual cues for query-by-string word spotting. In: 2013 12th International Conference on Document Analysis and Recognition (ICDAR), pp. 511–515, August 2013 ; Balikas, G., Kosmopoulos, A., Krithara, A., Paliouras, G., Kakadiaris, I.A.: Results of the bioasq tasks of the question answering lab at CLEF 2015. In: Working Notes of CLEF 2015 - Conference and Labs of the Evaluation forum, Toulouse, France, 8–11 September 2015 (2015) ; Causer, T., Wallace, V.: Building a volunteer community: results and findings from transcribe Bentham. Digit. Humanit. Q. 6(2) (2012). http://www.digitalhumanities.org/dhq/vol/6/2/000125/000125.html ; Denkowski, M., Lavie, A.: Meteor universal: language specific translation evaluation for any target language. In: Proceedings of the EACL 2014 Workshop on Statistical Machine Translation (2014) ; Fischer, A., Keller, A., Frinken, V., Bunke, H.: Lexicon-free handwritten word spotting using character HMMs. Pattern Recognit. Lett. 33(7), 934–942 (2012). Special Issue on Awards from (ICPR) ; Frinken, V., Fischer, A., Bunke, H.: A novel word spotting algorithm using bidirectional long short-term memory neural networks. In: Schwenker, F., El Gayar, N. (eds.) Artificial Neural Networks in Pattern Recognition. LNCS, vol. 5998, pp. 185–196. Springer, Heidelberg (2010) ; Gatos, B., Pratikakis, I.: Segmentation-free word spotting in historical printed documents. In: 10th International Conference on Document Analysis and Recognition (ICDAR 2009), pp. 271–275, July 2009 ; Gilbert, A., Piras, L., Wang, J., Yan, F., Dellandrea, E., Gaizauskas, R., Villegas, M., Mikolajczyk, K.: Overview of the ImageCLEF 2015 scalable image annotation, localization and sentence generation task. In: CLEF2015 Working Notes, CEUR Workshop Proceedings, CEUR-WS.org, Toulouse, France, 8–11 September 2015 (2015) ; Gilbert, A., Piras, L., Wang, J., Yan, F., Ramisa, A., Dellandrea, E., Gaizauskas, R., Villegas, M., Mikolajczyk, K.: Overview of the ImageCLEF 2016 scalable concept image annotation task. In: CLEF2016 Working Notes, CEUR Workshop Proceedings, CEUR-WS.org, Évora, Portugal, 5–8 September 2016 (2016) ; Giotis, A., Gerogiannis, D., Nikou, C.: Word spotting in handwritten text using contour-based models. In: 2014 14th International Conference on Frontiers in Handwriting Recognition (ICFHR), pp. 399–404, September 2014 ; Goeuriot, L., Kelly, L., Suominen, H., Hanlen, L., Névéol, A., Grouin, C., Palotti, J.R.M., Zuccon, G.: Overview of the CLEF ehealth evaluation lab 2015. In: Experimental IR Meets Multilinguality, Multimodality, and Interaction - 6th International Conference of the CLEF Association, CLEF 2015, Toulouse, France, 8–11 September 2015, Proceedings, pp. 429–443 (2015). doi:10.1007/978-3-319-24027-5_44 ; He, K., Zhang, X., Ren, S., Sun, J.: Delving deep into rectifiers: surpassing human-level performance on imagenet classification. In: The IEEE International Conference on Computer Vision (ICCV), December 2015 ; García Seco de Herrera, A., Kalpathy-Cramer, J., Demner Fushman, D., Antani, S., Müller, H.: Overview of the ImageCLEF 2013 medical tasks. In: Working Notes of CLEF 2013 (Cross Language Evaluation Forum) (2013). http://ceur-ws.org/Vol-1179/CLEF2013wn-ImageCLEF-SecoDeHerreraEt2013b.pdf ; García Seco de Herrera, A., Müller, H., Bromuri, S.: Overview of the ImageCLEF 2015 medical classification task. In: Working Notes of CLEF 2015 (Cross Language Evaluation Forum), CEUR Workshop Proceedings, CEUR-WS.org, September 2015 ; García Seco de Herrera, A., Schaer, R., Bromuri, S., Müller, H.: Overview of the ImageCLEF 2016 medical task. In: CLEF2016 Working Notes, CEUR Workshop Proceedings, CEUR-WS.org, Évora, Portugal, 5–8 September 2016 (2016) ; Joly, A., Goëau, H., Glotin, H., Spampinato, C., Bonnet, P., Vellinga, W., Planquè, R., Rauber, A., Palazzo, S., Fisher, B., Müller, H.: LifeCLEF 2015: multimedia life species identification challenges. In: Experimental IR Meets Multilinguality, Multimodality, and Interaction - 6th International Conference of the CLEF Association, CLEF 2015, Toulouse, France, 8–11 September 2015, Proceedings, pp. 462–483 (2015). doi:10.1007/978-3-319-24027-5_46 ; Kalpathy-Cramer, J., García Seco de Herrera, A., Demner-Fushman, D., Antani, S., Bedrick, S., Müller, H.: Evaluating performance of biomedical image retrieval systems an overview of the medical image retrieval task at ImageCLEF 2004–2014. Comput. Med. Imaging Graph. 39, 55–61 (2015). doi:10.1016/j.compmedimag.2014.03.004 ; Koitka, S., Friedrich, C.M.: Traditional feature engineering and deep learning approaches at medical classification task of ImageCLEF 2016. In: CLEF2016 Working Notes, CEUR Workshop Proceedings, CEUR-WS.org, Évora, Portugal, 5–8 September 2016 (2016) ; Lavrenko, V., Rath, T.M., Manmatha, R.: Holistic word recognition for handwritten historical documents. In: First International Workshop on Document Image Analysis for Libraries, Proceedings, pp. 278–287 (2004) ; Müller, H., Clough, P., Deselaers, T., Caputo, B. (eds.): ImageCLEF: Experimental Evaluation in Visual Information Retrieval. The Information Retrieval Series, vol. 32. Springer, Heidelberg (2010). doi:10.1007/978-3-642-15181-1 ; Müller, H., Kalpathy-Cramer, J., Demner-Fushman, D., Antani, S.: Creating a classification of image types in the medical literature for visual categorization. In: SPIE Medical Imaging (2012) ; Pratikakis, I., Zagoris, K., Gatos, B., Louloudis, G., Stamatopoulos, N.: ICFHR 2014 competition on handwritten keyword spotting (H-KWS 2014). In: 2014 14th International Conference on Frontiers in Handwriting Recognition (ICFHR), pp. 814–819, September 2014 ; Puigcerver, J., Toselli, A.H., Vidal, E.: ICDAR 2015 competition on keyword spotting for handwritten documents. In: 2015 13th International Conference on Document Analysis and Recognition (ICDAR), pp. 1176–1180, August 2015 ; Ramisa, A., Yan, F., Moreno-Noguer, F., Mikolajczyk, K.: Breakingnews: article annotation by image and text processing. CoRR abs/1603.07141 (2016). http://arxiv.org/abs/1603.07141 ; Rodríguez-Serrano, J.A., Perronnin, F.: Handwritten word-spotting using hidden Markov models and universal vocabularies. Pattern Recognit. 42, 2106–2116 (2009) ; Sorensen, S., Li, P., Kolagunda, A., Jiang, X., Wang, X., Shatkay, H., Kambhamettu, C.: UDEL CIS working notes in ImageCLEF 2016. In: CLEF2016 Working Notes, CEUR Workshop Proceedings, CEUR-WS.org, Évora, Portugal, 5–8 September 2016 (2016) ; Snchez, J.A., Romero, V., Toselli, A.H., Vidal, E.: ICFHR 2014 competition on handwritten text recognition on transcriptorium datasets (HTRTS). In: 2014 14th International Conference on Frontiers in Handwriting Recognition (ICFHR), pp. 785–790, September 2014 ; Sánchez, J.A., Toselli, A.H., Romero, V., Vidal, E.: ICDAR 2015 competition HTRtS: Handwritten text recognition on the transcriptorium dataset. In: 2015 13th International Conference on Document Analysis and Recognition (ICDAR), pp. 1166–1170, August 2015 ; Toselli, A.H., Puigcerver, J., Vidal, E.: Context-aware lattice based filler approach for key word spotting in handwritten documents. In: 2015 13th International Conference on Document Analysis and Recognition (ICDAR), pp. 736–740, August 2015 ; Tsikrika, T., de Herrera, A.G.S., Müller, H.: Assessing the scholarly impact of ImageCLEF. In: Forner, P., Gonzalo, J., Kekäläinen, J., Lalmas, M., Rijke, M. (eds.) CLEF 2011. LNCS, vol. 6941, pp. 95–106. Springer, Heidelberg (2011). doi:10.1007/978-3-642-23708-9_12 ; Villegas, M., et al.: General overview of ImageCLEF at the CLEF 2015 labs. In: Mothe, J., et al. (eds.) CLEF 2015. LNCS, vol. 9283, pp. 441–461. Springer, Heidelberg (2015). doi:10.1007/978-3-319-24027-5_45 ; Villegas, M., Paredes, R.: Overview of the ImageCLEF 2012 scalable web image annotation task. In: Forner, P., Karlgren, J., Womser-Hacker, C. (eds.) CLEF 2012 Evaluation Labs and Workshop, Online Working Notes, Rome, Italy, 17–20 September 2012 (2012). http://ceur-ws.org/Vol-1178/CLEF2012wn-ImageCLEF-VillegasEt2012.pdf ; Villegas, M., Paredes, R.: Overview of the ImageCLEF 2014 scalable concept image annotation task. In: CLEF2014 Working Notes, CEUR Workshop Proceedings, vol. 1180, pp. 308–328, CEUR-WS.org, Sheffield, UK, 15–18 September 2014 (2014). http://ceur-ws.org/Vol-1180/CLEF2014wn-Image-VillegasEt2014.pdf ; Villegas, M., Paredes, R., Thomee, B.: Overview of the ImageCLEF 2013 scalable concept image annotation subtask. In: CLEF 2013 Evaluation Labs and Workshop, Online Working Notes, Valencia, Spain, 23–26 September 2013 (2013). http://ceur-ws.org/Vol-1179/CLEF2013wn-ImageCLEF-VillegasEt2013.pdf ; Villegas, M., Puigcerver, J., Toselli, A.H.: ImageCLEF 2016 Bentham handwritten retrieval dataset (2016). doi:10.5281/zenodo.52994 ; Villegas, M., Puigcerver, J., Toselli, A.H., Sánchez, J.A., Vidal, E.: Overview of the ImageCLEF 2016 handwritten scanned document retrieval task. In: CLEF2016 Working Notes, CEUR Workshop Proceedings, CEUR-WS.org, Evora, Portugal, 5–8 September 2016 (2016) ; Wang, J., Gaizauskas, R.: Generating image descriptions with gold standard visual inputs: motivation, evaluation and baselines. In: Proceedings of the 15th European Workshop on Natural Language Generation (ENLG), pp. 117–126. Association for Computational Linguistics, Brighton, UK (2015). http://www.aclweb.org/anthology/W15-4722 ; Zagoris, K., Ergina, K., Papamarkos, N.: Image retrieval systems based on compact shape descriptor and relevance feedback information. J. Vis. Commun. Image Represent. 22(5), 378–390 (2011)
Keyword: CLEF labs; Compound figures from biomedical literature; Evaluation campaign; Handwritten retrieval; Image annotation; ImageCLEF; LENGUAJES Y SISTEMAS INFORMATICOS
URL: https://doi.org/10.1007/978-3-319-44564-9_25
http://hdl.handle.net/10251/82499
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State of the Art Language Technologies for Italian: The EVALITA 2014 Perspective
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EVALITA 2009: Description and Results of the Local Entity Detection and Recognition (LEDR) task.
Valentina Bartalesi Lenzi,; Sprugnoli, Rachele (orcid:0000-0001-6861-5595). - : AI*IA, 2009. : country:ITA, 2009. : place:Reggio Emilia, 2009
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