{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,30]],"date-time":"2024-12-30T18:56:30Z","timestamp":1735584990160},"reference-count":34,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"funder":[{"name":"Hung Yen University of Technology and Education","award":["UTEHY.L.2020.04"]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Engineering Applications of Artificial Intelligence"],"published-print":{"date-parts":[[2021,1]]},"DOI":"10.1016\/j.engappai.2020.104100","type":"journal-article","created":{"date-parts":[[2020,11,24]],"date-time":"2020-11-24T10:16:31Z","timestamp":1606212991000},"page":"104100","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":24,"special_numbering":"C","title":["Transformers-based information extraction with limited data for domain-specific business documents"],"prefix":"10.1016","volume":"97","author":[{"given":"Minh-Tien","family":"Nguyen","sequence":"first","affiliation":[]},{"given":"Dung Tien","family":"Le","sequence":"additional","affiliation":[]},{"given":"Linh","family":"Le","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.engappai.2020.104100_b1","doi-asserted-by":"crossref","unstructured":"Andrew, J.J., 2018. Automatic extraction of entities and relation from legal documents. In: Proceedings of the Seventh Named Entities Workshop, pp. 1-8.","DOI":"10.18653\/v1\/W18-2401"},{"key":"10.1016\/j.engappai.2020.104100_b2","series-title":"Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)","first-page":"344","article-title":"Leveraging linguistic structure for open domain information extraction","author":"Angeli","year":"2015"},{"key":"10.1016\/j.engappai.2020.104100_b3","series-title":"Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP)","first-page":"868","article-title":"Finet: context-aware fine-grained named entity typing","author":"Del\u00a0Corro","year":"2015"},{"key":"10.1016\/j.engappai.2020.104100_b4","series-title":"Proceedings of the 22nd International Conference on World Wide Web","first-page":"355","article-title":"Clausie: clause-based open information extraction","author":"Del\u00a0Corro","year":"2013"},{"key":"10.1016\/j.engappai.2020.104100_b5","series-title":"Deep Learning in Natural Language Processing","author":"Deng","year":"2018"},{"key":"10.1016\/j.engappai.2020.104100_b6","series-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), Volume 1 (Long and Short Papers)","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2019"},{"key":"10.1016\/j.engappai.2020.104100_b7","series-title":"Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP), Volume 1-Volume 1","first-page":"141","article-title":"Nested named entity recognition","author":"Finkel","year":"2009"},{"key":"10.1016\/j.engappai.2020.104100_b8","series-title":"Proceedings of the 19th International Conference on Computational Linguistic (COLING), Volume 1","first-page":"1","article-title":"Fine grained classification of named entities","author":"Fleischman","year":"2002"},{"key":"10.1016\/j.engappai.2020.104100_b9","series-title":"Digital Transformation: Build your Organization\u2019s Future for the Innovation Age","author":"Herbert","year":"2017"},{"issue":"8","key":"10.1016\/j.engappai.2020.104100_b10","doi-asserted-by":"crossref","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","article-title":"Long short-term memory","volume":"9","author":"Hochreiter","year":"1997","journal-title":"Neural Comput."},{"key":"10.1016\/j.engappai.2020.104100_b11","series-title":"Tapping into Unstructured Data: Integrating Unstructured Data and Textual Analytics into Business Intelligence","author":"Inmon","year":"2007"},{"key":"10.1016\/j.engappai.2020.104100_b12","series-title":"Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), Volume 1 (Long Papers)","first-page":"1446","article-title":"A neural layered model for nested named entity recognition","author":"Ju","year":"2018"},{"key":"10.1016\/j.engappai.2020.104100_b13","series-title":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","first-page":"1746","article-title":"Convolutional neural networks for sentence classification","author":"Kim","year":"2014"},{"key":"10.1016\/j.engappai.2020.104100_b14","unstructured":"Lafferty, J., McCallum, A., Pereira, F.C., 2001. Conditional random fields: probabilistic models for segmenting and labeling sequence data. In: Proceedings of the 18th International Conference on Machine Learning (ICML), pp. 282\u2013289."},{"key":"10.1016\/j.engappai.2020.104100_b15","series-title":"Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL)","first-page":"260","article-title":"Neural architectures for named entity recognition","author":"Lample","year":"2016"},{"key":"10.1016\/j.engappai.2020.104100_b16","series-title":"International Conference on Learning Representations","article-title":"Albert: a lite bert for self-supervised learning of language representations","author":"Lan","year":"2020"},{"key":"10.1016\/j.engappai.2020.104100_b17","first-page":"255","article-title":"Convolutional networks for images, speech, and time series","author":"LeCun","year":"1998"},{"key":"10.1016\/j.engappai.2020.104100_b18","series-title":"Asia Information Retrieval Symposium (AIRS)","first-page":"581","article-title":"Fine-grained named entity recognition using conditional random fields for question answering","author":"Lee","year":"2006"},{"key":"10.1016\/j.engappai.2020.104100_b19","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.engappai.2019.06.005","article-title":"A bi-lstm mention hypergraph model with encoding schema for mention extraction","volume":"85","author":"Lin","year":"2019","journal-title":"Eng. Appl. Artif. Intell."},{"key":"10.1016\/j.engappai.2020.104100_b20","series-title":"A future that works: ai, automation, employment, and productivity","author":"Manyika","year":"2017"},{"key":"10.1016\/j.engappai.2020.104100_b21","series-title":"Proceedings of 16th International Conference of the Pacific Association for Computational Linguistics","first-page":"469","article-title":"Transfer learning for information extraction with limited data","author":"Nguyen","year":"2019"},{"key":"10.1016\/j.engappai.2020.104100_b22","unstructured":"Nguyen, M.T., Tran, D.V., Phan, V.A., Nguyen, L.M., 2018. Towards social context summarization with convolutional neural networks. In: Proceedings of the 19th International Conference on Computational Linguistics and Intelligent Text Processing (CICLING)."},{"issue":"10","key":"10.1016\/j.engappai.2020.104100_b23","doi-asserted-by":"crossref","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","article-title":"A survey on transfer learning","volume":"22","author":"Pan","year":"2009","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.engappai.2020.104100_b24","series-title":"Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)","first-page":"1532","article-title":"Glove: global vectors for word representation","author":"Pennington","year":"2014"},{"key":"10.1016\/j.engappai.2020.104100_b25","series-title":"Introduction to the conll-2003 shared task: language-independent named entity recognition","author":"Sang","year":"2003"},{"key":"10.1016\/j.engappai.2020.104100_b26","doi-asserted-by":"crossref","unstructured":"Shimaoka, S., Stenetorp, P., Inui, K., Riedel, S., 2016. An attentive neural architecture for fine-grained entity type classification. In: Proceedings of the 5th Workshop on Automated Knowledge Base Construction, pp. 69-74.","DOI":"10.18653\/v1\/W16-1313"},{"issue":"5","key":"10.1016\/j.engappai.2020.104100_b27","doi-asserted-by":"crossref","first-page":"1285","DOI":"10.1109\/TMI.2016.2528162","article-title":"Deep convolutional neural networks for computer-aided detection: cnn architectures, dataset characteristics and transfer learning","volume":"35","author":"Shin","year":"2016","journal-title":"IEEE Trans. Med. Imag."},{"key":"10.1016\/j.engappai.2020.104100_b28","series-title":"Spoken Language Understanding: Systems for Extracting Semantic Information from Speech","author":"Tur","year":"2011"},{"key":"10.1016\/j.engappai.2020.104100_b29","series-title":"Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)","first-page":"1385","article-title":"Can syntax help? improving an lstm-based sentence compression model for new domains","author":"Wang","year":"2017"},{"key":"10.1016\/j.engappai.2020.104100_b30","series-title":"Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)","first-page":"649","article-title":"A graph-based approach to named entity categorization in wikipedia using conditional random fields","author":"Watanabe","year":"2007"},{"issue":"1","key":"10.1016\/j.engappai.2020.104100_b31","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1186\/s40537-016-0043-6","article-title":"A survey of transfer learning","volume":"3","author":"Weiss","year":"2016","journal-title":"J. Big Data"},{"key":"10.1016\/j.engappai.2020.104100_b32","doi-asserted-by":"crossref","unstructured":"Yao, L., Mao, C., Luo, Y., 2019. Graph convolutional networks for text classification. In: Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 33), pp. 7370-7377.","DOI":"10.1609\/aaai.v33i01.33017370"},{"key":"10.1016\/j.engappai.2020.104100_b33","series-title":"Rapid adaptation of bert for information extraction on domain-specific business documents","author":"Zhang","year":"2020"},{"key":"10.1016\/j.engappai.2020.104100_b34","series-title":"Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)","first-page":"170","article-title":"A language model based evaluator for sentence compression","author":"Zhao","year":"2018"}],"container-title":["Engineering Applications of Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0952197620303481?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0952197620303481?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2020,11,30]],"date-time":"2020-11-30T16:56:57Z","timestamp":1606755417000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0952197620303481"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":34,"alternative-id":["S0952197620303481"],"URL":"https:\/\/doi.org\/10.1016\/j.engappai.2020.104100","relation":{},"ISSN":["0952-1976"],"issn-type":[{"value":"0952-1976","type":"print"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Transformers-based information extraction with limited data for domain-specific business documents","name":"articletitle","label":"Article Title"},{"value":"Engineering Applications of Artificial Intelligence","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.engappai.2020.104100","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"104100"}}