{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,3]],"date-time":"2026-01-03T15:05:14Z","timestamp":1767452714664},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2015,9,1]],"date-time":"2015-09-01T00:00:00Z","timestamp":1441065600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"German Federal Ministry of Education and Research (BMBF)","award":["01IC12SO1X"],"award-info":[{"award-number":["01IC12SO1X"]}]},{"name":"German Research Foundation (DFG)","award":["WI 4204\/2-1"],"award-info":[{"award-number":["WI 4204\/2-1"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Lang Resources & Evaluation"],"published-print":{"date-parts":[[2015,12]]},"DOI":"10.1007\/s10579-015-9314-7","type":"journal-article","created":{"date-parts":[[2015,8,31]],"date-time":"2015-08-31T14:39:09Z","timestamp":1441031949000},"page":"777-830","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Detecting conditional healthiness of food items from natural language text"],"prefix":"10.1007","volume":"49","author":[{"given":"Michael","family":"Wiegand","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dietrich","family":"Klakow","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2015,9,1]]},"reference":[{"key":"9314_CR1","doi-asserted-by":"crossref","unstructured":"Beamer, B., & Girju, R. (2009). Using a bigram event model to predict causal potential. In Proceedings of the International Conference on Intelligent Text Processing and Computational Linguistics (CICLing) (pp. 430\u2013441). Mexico City, Mexico.","DOI":"10.1007\/978-3-642-00382-0_35"},{"key":"9314_CR2","unstructured":"Bunescu, R. C., & Mooney, R. J. (2005). Subsequence kernels for relation extraction. In Proceedings of the Conference on Neural Information Processing Systems (NIPS). Vancouver, Canada."},{"key":"9314_CR3","unstructured":"Chahuneau, V., Gimpel, K., Routledge, B. R., Scherlis, L., & Smith, N. A. (2012). Word salad: Relating food prices and descriptions. In Proceedings of the Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP\/CoNLL) (pp. 1357\u20131367). Jeju Island, Korea."},{"issue":"1","key":"9314_CR4","first-page":"22","volume":"16","author":"KW Church","year":"1990","unstructured":"Church, K. W., & Hanks, P. (1990). Word association norms, mutual information, and lexicography. Computational Linguistics, 16(1), 22\u201329.","journal-title":"Computational Linguistics"},{"key":"9314_CR5","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1093\/bib\/6.1.57","volume":"6","author":"AM Cohen","year":"2005","unstructured":"Cohen, A. M., & Hersh, W. R. (2005). A survey of current work in biomedical text mining. Briefings in Bioinformatics, 6, 57\u201371.","journal-title":"Briefings in Bioinformatics"},{"key":"9314_CR6","doi-asserted-by":"crossref","unstructured":"Deng, L., & Wiebe, J. (2014). Sentiment propagation via implicature constraints. In Proceedings of the Conference on European Chapter of the Association for Computational Linguistics (EACL) (pp. 377\u2013385). Gothenburg, Sweden.","DOI":"10.3115\/v1\/E14-1040"},{"key":"9314_CR7","unstructured":"Deng, L., Wiebe, J., & Choi, Y. (2014). Joint inference and disambiguation of implicit sentiments via implicature constraints. In Proceedings of the International Conference on Computational Linguistics (COLING) (pp. 79\u201388). Dublin, Ireland."},{"key":"9314_CR8","unstructured":"Diaz-Aviles, E., Stewart, A., Velasco, E., Denecke, K., & Nejdl, W. (2012). Epidemic intelligence for the crowd, by the crowd. In Proceedings of the International AAAI Conference on Weblogs and Social Media (ICWSM). Dublin, Ireland."},{"key":"9314_CR9","doi-asserted-by":"crossref","unstructured":"Fisichella, M., Stewart, A., Cuzzocrea, A., & Denecke, K. (2011). Detecting health events on the social web to enable epidemic intelligence. In Proceedings of the International Symposium on String Processing and Information Retrieval (SPIRE) (pp. 87\u2013103). Pisa, Italy.","DOI":"10.1007\/978-3-642-24583-1_10"},{"issue":"3","key":"9314_CR10","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1162\/089120102760275983","volume":"28","author":"D Gildea","year":"2002","unstructured":"Gildea, D., & Jurafsky, D. (2002). Automatic labeling of semantic roles. Computational Linguistics, 28(3), 245\u2013288.","journal-title":"Computational Linguistics"},{"key":"9314_CR11","doi-asserted-by":"crossref","unstructured":"Girju, R. (2003). Automatic detection of causal relations for question answering. In Proceedings of the ACL 2003 Workshop on Multilingual Summarization and Question Answering (pp. 76\u201383). Sapporo, Japan.","DOI":"10.3115\/1119312.1119322"},{"key":"9314_CR12","unstructured":"Girju, R., & Moldovan, D. (2002). Text mining and causal relations. In Proceedings of the International FLAIRS Conference (FLAIRS) (pp. 360\u2013364). Pensacola Beach, FL, USA."},{"key":"9314_CR13","doi-asserted-by":"crossref","unstructured":"Girju, R., Badulescu, A., & Moldovan, D. (2003). Learning semantic constraints for the automatic discovery of part-whole relations. In Proceedings of the Human Language Technology Conference (HLT) (pp. 80\u201387). Edmonton, Canada.","DOI":"10.3115\/1073445.1073456"},{"key":"9314_CR17","unstructured":"Hamp, B., & Feldweg, H. (1997). GermaNet\u2014A lexical-semantic net for German. In Proceedings of ACL Workshop Automatic Information Extraction and Building of Lexical Semantic Resources for NLP Applications (pp. 9\u201315). Madrid, Spain."},{"key":"9314_CR18","unstructured":"Joachims, T. (1999). Making large-scale SVM learning practical. In B. Sch\u00f6lkopf, C. Burges & A. Smola (eds) Advances in kernel methods\u2014Support vector learning (pp. 169\u2013184). MIT Press."},{"key":"9314_CR19","doi-asserted-by":"crossref","unstructured":"Kessler, J. S., & Nicolov, N. (2009). Targeting sentiment expressions through supervised ranking of linguistic configurations. In Proceedings of the International AAAI Conference on Weblogs and Social Media (ICWSM). San Jose, CA, USA.","DOI":"10.1609\/icwsm.v3i1.13948"},{"key":"9314_CR20","unstructured":"Klenner, M., Petrakis, S., & Fahrni, A. (2009). Robust compositional polarity classification. In Proceedings of Recent Advances in Natural Language Processing (RANLP) (pp. 180\u2013184). Borovets, Bulgaria."},{"key":"9314_CR21","unstructured":"Kozareva, Z. (2012). Cause-effect relation learning. In Proceedings of the Text Graphs Workshop at ACL (pp 39\u201343). Jeju, Republic of Korea."},{"issue":"1","key":"9314_CR22","doi-asserted-by":"crossref","first-page":"159","DOI":"10.2307\/2529310","volume":"33","author":"JR Landis","year":"1977","unstructured":"Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159\u2013174.","journal-title":"Biometrics"},{"key":"9314_CR23","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1093\/ijl\/3.4.235","volume":"3","author":"G Miller","year":"1990","unstructured":"Miller, G., Beckwith, R., Fellbaum, C., Gross, D., & Miller, K. (1990). Introduction to wordnet: an on-line lexical database. International Journal of Lexicography, 3, 235\u2013244.","journal-title":"International Journal of Lexicography"},{"key":"9314_CR24","doi-asserted-by":"crossref","unstructured":"Mintz, M., Bills, S., Snow, R., & Jurafsky, D. (2009). Distant supervision for relation extraction without labeled data. In Proceedings of the Joint Conference of the Annual Meeting of the Association for Computational Linguistics and the International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL\/IJCNLP) (pp. 1003\u20131011). Singapore.","DOI":"10.3115\/1690219.1690287"},{"key":"9314_CR25","unstructured":"Moschitti, A., & Basili, R. (2006). Complex linguistic features for text classification: A comprehensive study. In Proceedings of the European Conference in Information Retrieval (ECIR) (pp. 181\u2013196). Sunderland, United Kingdom."},{"key":"9314_CR26","unstructured":"Munro, R., Gunasekara, L., Nevins, S., Polepeddi, L., & Rosen, E. (2012). Tracking epidemics with natural language processing and crowdsourcing. In Proceedings of the Spring Symposium for Association for the Advancement of Artificial Intelligence (AAAI) (pp 52\u201358). Toronto, Canada."},{"key":"9314_CR27","doi-asserted-by":"crossref","unstructured":"Ng, V., Dasgupta, S., & Arifin, S. M. N. (2006). Examining the role of linguistic knowledge sources in the automatic identification and classification of reviews. In Proceedings of the International Conference on Computational Linguistics and Annual Meeting of the Association for Computational Linguistics (COLING\/ACL) (pp. 611\u2013618). Sydney, Australia.","DOI":"10.3115\/1273073.1273152"},{"issue":"1","key":"9314_CR28","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1145\/1089815.1089824","volume":"7","author":"F Popowich","year":"2005","unstructured":"Popowich, F. (2005). Using text mining and natural language processing for health care claims processing. SIGKDD Explorations, 7(1), 59\u201366.","journal-title":"SIGKDD Explorations"},{"key":"9314_CR29","doi-asserted-by":"crossref","unstructured":"Rafferty, A., & Manning, C. D. (2008). Parsing three German treebanks: Lexicalized and unlexicalized baselines. In Proceedings of the ACL Workshop on Parsing German (PaGe) (pp. 40\u201346). Columbus, OH, USA.","DOI":"10.3115\/1621401.1621407"},{"key":"9314_CR30","unstructured":"Roth, B., Barth, T., Wiegand, M., Singh, M., & Klakow, D. (2014). Effective slot filling based on shallow distant supervision methods. In Proceedings of the Text Analysis Conference (TAC). Gaithersburg, MD: NIST."},{"key":"9314_CR31","unstructured":"Sokolova, M., & Bobicev, V. (2011). Sentiments and opinions in health-related web messages. In Proceedings of Recent Advances in Natural Language Processing (RANLP) (pp. 180\u2013184). Borovets, Bulgaria."},{"issue":"1","key":"9314_CR32","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1016\/j.ijmedinf.2010.10.015","volume":"80","author":"M Torii","year":"2011","unstructured":"Torii, M., Yin, L., Nguyen, T., Mazumdar, C. T., Liu, H., Hartley, D. M., et al. (2011). An exploratory study of a text classification framework for internet-based surveillance of emerging epidemics. International Journal of Medical Informatics, 80(1), 56\u201366.","journal-title":"International Journal of Medical Informatics"},{"key":"9314_CR14","doi-asserted-by":"crossref","unstructured":"van Hage, W. R., Katrenko, S., & Schreiber, G. (2005). A method to combine linguistic ontology-mapping techniques. In Proceedings of International Semantic Web Conference (ISWC) (pp. 732\u2013744). Galway: Springer.","DOI":"10.1007\/11574620_52"},{"key":"9314_CR15","doi-asserted-by":"crossref","unstructured":"van Hage, W. R., Kolb, H., & Schreiber, G. (2006). A method for learning part-whole relations. In Proceedings of International Semantic Web Conference (ISWC) (pp. 723\u2013735). Athens, GA: Springer.","DOI":"10.1007\/11926078_52"},{"issue":"1","key":"9314_CR16","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3233\/AO-2010-0072","volume":"5","author":"WR Hage van","year":"2010","unstructured":"van Hage, W. R., Sini, M., Finch, L., Kolb, H., & Schreiber, G. (2010). The OAEI food task: An analysis of a thesaurus alignment task. Applied Ontology, 5(1), 1\u201328.","journal-title":"Applied Ontology"},{"key":"9314_CR33","unstructured":"Wiegand, M., & Klakow, D. (2010). Convolution kernels for opinion holder extraction. In Proceedings of the Human Language Technology Conference of the North American Chapter of the ACL (HLT\/NAACL) (pp. 795\u2013803). Los Angeles, CA, USA."},{"key":"9314_CR34","unstructured":"Wiegand, M., & Klakow, D. (2013a). Towards contextual healthiness classification of food items\u2014A linguistic approach. In Proceedings of the International Joint Conference on Natural Language Processing (IJCNLP) (pp. 19\u201327). Nagoya, Japan."},{"key":"9314_CR35","unstructured":"Wiegand, M., & Klakow, D. (2013b). Towards the detection of reliable food-health relationships. In Proceedings of the NAACL-Workshop on Language Analysis in Social Media (pp. 69\u201379). Atlanta, GA, USA."},{"key":"9314_CR36","doi-asserted-by":"crossref","unstructured":"Wiegand, M., Roth, B., & Klakow, D. (2012a). Data-driven knowledge extraction for the food domain. In Proceedings of KONVENS (pp. 21\u201329). Vienna, Austria.","DOI":"10.1007\/978-3-642-31178-9_25"},{"key":"9314_CR37","doi-asserted-by":"crossref","unstructured":"Wiegand, M., Roth, B., & Klakow, D. (2012b). Web-based relation extraction for the food domain. In Proceedings of the International Conference on Applications of Natural Language Processing to Information Systems (NLDB) (pp. 222\u2013227). Groningen: Springer.","DOI":"10.1007\/978-3-642-31178-9_25"},{"key":"9314_CR38","doi-asserted-by":"crossref","unstructured":"Wiegand, M., Roth, B., Lasarcyk, E., K\u00f6ser, S., & Klakow, D. (2012c). A gold standard for relation extraction in the food domain. In Proceedings of the Conference on Language Resources and Evaluation (LREC) (pp. 507\u2013514). Istanbul, Turkey.","DOI":"10.1007\/978-3-642-31178-9_25"},{"key":"9314_CR39","doi-asserted-by":"crossref","unstructured":"Wiegand, M., Roth, B., & Klakow, D. (2014). Automatic food categorization from large unlabeled corpora and its impact on relation extraction. In Proceedings of the Conference on European Chapter of the Association for Computational Linguistics (EACL) (pp. 673\u2013682). Gothenburg, Sweden.","DOI":"10.3115\/v1\/E14-1071"},{"key":"9314_CR40","doi-asserted-by":"crossref","unstructured":"Wilson, T., Wiebe, J., & Hoffmann, P. (2005). Recognizing contextual polarity in phrase-level sentiment analysis. In Proceedings of the Conference on Human Language Technology and Empirical Methods in Natural Language Processing (HLT\/EMNLP) (pp. 347\u2013354). Vancouver, BC, Canada.","DOI":"10.3115\/1220575.1220619"},{"key":"9314_CR41","volume-title":"Data mining: Practical machine learning tools and techniques","author":"I Witten","year":"2005","unstructured":"Witten, I., & Frank, E. (2005). Data mining: Practical machine learning tools and techniques. San Francisco: Morgan Kaufmann Publishers."}],"container-title":["Language Resources and Evaluation"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10579-015-9314-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10579-015-9314-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10579-015-9314-7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,13]],"date-time":"2023-08-13T15:31:58Z","timestamp":1691940718000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10579-015-9314-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,9,1]]},"references-count":41,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2015,12]]}},"alternative-id":["9314"],"URL":"https:\/\/doi.org\/10.1007\/s10579-015-9314-7","relation":{},"ISSN":["1574-020X","1574-0218"],"issn-type":[{"value":"1574-020X","type":"print"},{"value":"1574-0218","type":"electronic"}],"subject":[],"published":{"date-parts":[[2015,9,1]]}}}