{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:34:34Z","timestamp":1772908474205,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,9,23]],"date-time":"2019-09-23T00:00:00Z","timestamp":1569196800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,9,23]]},"DOI":"10.1145\/3342558.3345421","type":"proceedings-article","created":{"date-parts":[[2019,9,19]],"date-time":"2019-09-19T15:34:36Z","timestamp":1568907276000},"page":"1-4","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":34,"title":["Towards Automated Auditing with Machine Learning"],"prefix":"10.1145","author":[{"given":"Rafet","family":"Sifa","sequence":"first","affiliation":[{"name":"Fraunhofer IAIS, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anna","family":"Ladi","sequence":"additional","affiliation":[{"name":"Fraunhofer IAIS, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maren","family":"Pielka","sequence":"additional","affiliation":[{"name":"Fraunhofer IAIS, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rajkumar","family":"Ramamurthy","sequence":"additional","affiliation":[{"name":"Fraunhofer IAIS, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lars","family":"Hillebrand","sequence":"additional","affiliation":[{"name":"Fraunhofer IAIS, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Birgit","family":"Kirsch","sequence":"additional","affiliation":[{"name":"Fraunhofer IAIS, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"David","family":"Biesner","sequence":"additional","affiliation":[{"name":"Fraunhofer IAIS, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robin","family":"Stenzel","sequence":"additional","affiliation":[{"name":"Fraunhofer IAIS, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thiago","family":"Bell","sequence":"additional","affiliation":[{"name":"Fraunhofer IAIS, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Max","family":"L\u00fcbbering","sequence":"additional","affiliation":[{"name":"Fraunhofer IAIS, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ulrich","family":"N\u00fctten","sequence":"additional","affiliation":[{"name":"Fraunhofer IAIS, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Bauckhage","sequence":"additional","affiliation":[{"name":"Fraunhofer IAIS, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ulrich","family":"Warning","sequence":"additional","affiliation":[{"name":"PriceWaterhouseCoopers GmbH WPG, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benedikt","family":"F\u00fcrst","sequence":"additional","affiliation":[{"name":"PriceWaterhouseCoopers GmbH WPG, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tim Dilmaghani","family":"Khameneh","sequence":"additional","affiliation":[{"name":"PriceWaterhouseCoopers GmbH WPG, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Thom","sequence":"additional","affiliation":[{"name":"PriceWaterhouseCoopers GmbH WPG, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ilgar","family":"Huseynov","sequence":"additional","affiliation":[{"name":"PriceWaterhouseCoopers GmbH WPG, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Roland","family":"Kahlert","sequence":"additional","affiliation":[{"name":"PriceWaterhouseCoopers GmbH WPG, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jennifer","family":"Schlums","sequence":"additional","affiliation":[{"name":"PriceWaterhouseCoopers GmbH WPG, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hisham","family":"Ismail","sequence":"additional","affiliation":[{"name":"PriceWaterhouseCoopers GmbH WPG, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bernd","family":"Kliem","sequence":"additional","affiliation":[{"name":"PriceWaterhouseCoopers GmbH WPG, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"R\u00fcdiger","family":"Loitz","sequence":"additional","affiliation":[{"name":"PriceWaterhouseCoopers GmbH WPG, Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,9,23]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proc. Int. Conf. on Computational Linguistics.","author":"Akbik A.","unstructured":"A. Akbik , D. Blythe , and R. Vollgraf . 2018. Contextual string embeddings for sequence labeling . In Proc. Int. Conf. on Computational Linguistics. A. Akbik, D. Blythe, and R. Vollgraf. 2018. Contextual string embeddings for sequence labeling. In Proc. Int. Conf. on Computational Linguistics."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11142-013-9258-3"},{"key":"e_1_3_2_1_3_1","volume-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555","author":"Chung Junyoung","year":"2014","unstructured":"Junyoung Chung , Caglar Gulcehre , KyungHyun Cho , and Yoshua Bengio . 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 ( 2014 ). Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555 (2014)."},{"key":"e_1_3_2_1_4_1","volume-title":"Proc. SIGIR. ACM.","author":"Furnas G.W.","unstructured":"G.W. Furnas , S. Deerwester , S.T. Dumais , T.K. Landauer , R.A. Harshman , L.A. Streeter , and K.E. Lochbaum . 1988. Information Retrieval Using a Singular Value Decomposition Model of Latent Semantic Structure . In Proc. SIGIR. ACM. G.W. Furnas, S. Deerwester, S.T. Dumais, T.K. Landauer, R.A. Harshman, L.A. Streeter, and K.E. Lochbaum. 1988. Information Retrieval Using a Singular Value Decomposition Model of Latent Semantic Structure. In Proc. SIGIR. ACM."},{"key":"e_1_3_2_1_5_1","first-page":"40","article-title":"2018. Big data techniques in auditing research and practice: Current trends and future opportunities","author":"Gepp A.","year":"2018","unstructured":"A. Gepp , M.K. Linnenluecke , T.J. O'Neill , and T. Smith . 2018. Big data techniques in auditing research and practice: Current trends and future opportunities . Journal of Accounting Literature 40 ( 2018 ). A. Gepp, M.K. Linnenluecke, T.J. O'Neill, and T. Smith. 2018. Big data techniques in auditing research and practice: Current trends and future opportunities. Journal of Accounting Literature 40 (2018).","journal-title":"Journal of Accounting Literature"},{"key":"e_1_3_2_1_6_1","first-page":"128","article-title":"2017. Mining corporate annual reports for intelligent detection of financial statement fraud-A comparative study of machine learning methods","author":"Hajek P.","year":"2017","unstructured":"P. Hajek and R. Henriques . 2017. Mining corporate annual reports for intelligent detection of financial statement fraud-A comparative study of machine learning methods . Knowledge-Based Systems 128 ( 2017 ). P. Hajek and R. Henriques. 2017. Mining corporate annual reports for intelligent detection of financial statement fraud-A comparative study of machine learning methods. Knowledge-Based Systems 128 (2017).","journal-title":"Knowledge-Based Systems"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dss.2010.08.009"},{"key":"e_1_3_2_1_8_1","volume-title":"Proc. ICML.","author":"Le Q.","unstructured":"Q. Le and T. Mikolov . 2014. Distributed Representations of Sentences and Documents . In Proc. ICML. Q. Le and T. Mikolov. 2014. Distributed Representations of Sentences and Documents. In Proc. ICML."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"C. Manning P. Raghavan and H. Sch\u00fctze. 2008. Introduction to Information Retrieval. Cambridge University Press.  C. Manning P. Raghavan and H. Sch\u00fctze. 2008. Introduction to Information Retrieval. Cambridge University Press.","DOI":"10.1017\/CBO9780511809071"},{"key":"e_1_3_2_1_10_1","unstructured":"R. Matin C. Hansen C. Hansen and P. M\u00f8lgaard. 2018. Predicting Distresses using Deep Learning of Text Segments in Annual Reports. arXiv:1811.05270 (2018).  R. Matin C. Hansen C. Hansen and P. M\u00f8lgaard. 2018. Predicting Distresses using Deep Learning of Text Segments in Annual Reports. arXiv:1811.05270 (2018)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1111\/1911-3846.12089"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"F. Ricci L. Rokach and B. Shapira. 2011. Recommender Systems Handbook. Springer.  F. Ricci L. Rokach and B. Shapira. 2011. Recommender Systems Handbook. Springer.","DOI":"10.1007\/978-0-387-85820-3"},{"key":"e_1_3_2_1_14_1","volume-title":"Multivariate Stochastic Approximation using a Simultaneous Perturbation Gradient Approximation","author":"Spall J.C.","year":"1992","unstructured":"J.C. Spall . 1992. Multivariate Stochastic Approximation using a Simultaneous Perturbation Gradient Approximation . IEEE Trans. Automat. Control 37, 3 ( 1992 ). J.C. Spall. 1992. Multivariate Stochastic Approximation using a Simultaneous Perturbation Gradient Approximation. IEEE Trans. Automat. Control 37, 3 (1992)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2016.06.069"},{"key":"e_1_3_2_1_16_1","unstructured":"L. von Rueden S. Mayer J. Garcke C. Bauckhage and J. Schuecker. 2019. Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning. arXiv:1903.12394 (2019).  L. von Rueden S. Mayer J. Garcke C. Bauckhage and J. Schuecker. 2019. Informed Machine Learning - Towards a Taxonomy of Explicit Integration of Knowledge into Machine Learning. arXiv:1903.12394 (2019)."}],"event":{"name":"DocEng '19: ACM Symposium on Document Engineering 2019","location":"Berlin Germany","acronym":"DocEng '19","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGDOC ACM Special Interest Group for Design of Communications"]},"container-title":["Proceedings of the ACM Symposium on Document Engineering 2019"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3342558.3345421","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3342558.3345421","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:23:01Z","timestamp":1750202581000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3342558.3345421"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,9,23]]},"references-count":15,"alternative-id":["10.1145\/3342558.3345421","10.1145\/3342558"],"URL":"https:\/\/doi.org\/10.1145\/3342558.3345421","relation":{},"subject":[],"published":{"date-parts":[[2019,9,23]]},"assertion":[{"value":"2019-09-23","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}