{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T23:42:33Z","timestamp":1773186153904,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":27,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"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":[[2021,7,11]]},"DOI":"10.1145\/3404835.3462785","type":"proceedings-article","created":{"date-parts":[[2021,7,21]],"date-time":"2021-07-21T17:24:59Z","timestamp":1626888299000},"page":"2560-2564","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["FedNLP: An Interpretable NLP System to Decode Federal Reserve Communications"],"prefix":"10.1145","author":[{"given":"Jean","family":"Lee","sequence":"first","affiliation":[{"name":"The University of Sydney, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hoyoul Luis","family":"Youn","sequence":"additional","affiliation":[{"name":"KPMG Australia, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicholas","family":"Stevens","sequence":"additional","affiliation":[{"name":"NRS Technology, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Josiah","family":"Poon","sequence":"additional","affiliation":[{"name":"The University of Sydney, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Soyeon Caren","family":"Han","sequence":"additional","affiliation":[{"name":"The University of Sydney, Sydney, NSW, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,7,11]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2702123.2702509"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1257\/jel.46.4.910"},{"key":"e_1_3_2_2_3_1","volume-title":"Retrieved","author":"TheFed","year":"2020","unstructured":"TheFed Board of Governors of the Federal Reserve System. 2020. What economic goals does the Federal Reserve seek to achieve through its monetary policy? Retrieved October 10, 2020 from https:\/\/www.federalreserve.gov\/faqs\/what-economic-goals-does-federalreserve- seek-to-achieve-through-monetary-policy.htm"},{"key":"e_1_3_2_2_4_1","volume-title":"Workshop on the Use of Natural Language Processing in Supervision. Retrieved","author":"TheFed","year":"2020","unstructured":"TheFed Board of Governors of the Federal Reserve System. 2020. Workshop on the Use of Natural Language Processing in Supervision. Retrieved October 16, 2020 from https:\/\/www.federalreserve.gov\/conferences\/workshop-on-the-useof-natural-language-in-supervision.htm"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"e_1_3_2_2_6_1","volume-title":"Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2019. Association for Computational Linguistics, Minneapolis, Minnesota, USA, 4171--4186."},{"key":"e_1_3_2_2_7_1","volume-title":"Retrieved","author":"Times The Economic","year":"2019","unstructured":"The Economic Times. 2019. Decoding central bankers' language. Retrieved October 10, 2020 from https:\/\/economictimes.indiatimes.com\/markets\/stocks\/news\/decoding-central-bankers-language\/articleshow\/69952364.cms"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmacro.2010.06.003"},{"key":"e_1_3_2_2_9_1","volume-title":"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations. Association for Computational Linguistics, Online, 187--196","author":"Hoover Benjamin","year":"2020","unstructured":"Benjamin Hoover, Hendrik Strobelt, and Sebastian Gehrmann. 2020. exBERT: A Visual Analysis Tool to Explore Learned Representations in Transformer Models. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations. Association for Computational Linguistics, Online, 187--196."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.5539\/ijbm.v14n9p105"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmacro.2016.04.008"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2858036.2858529"},{"key":"e_1_3_2_2_13_1","volume-title":"Retrieved","author":"Loria Steven","year":"2017","unstructured":"Steven Loria. 2017. TextBlob: Simplified Text Processing. Retrieved October 10, 2020 from https:\/\/textblob.readthedocs.io\/en\/dev\/"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-6261.2010.01625.x"},{"key":"e_1_3_2_2_15_1","volume-title":"Proceedings of the 2004 conference on empirical methods in natural language processing. ACL","author":"Mihalcea Rada","year":"2004","unstructured":"Rada Mihalcea and Paul Tarau. 2004. Textrank: Bringing order into text. In Proceedings of the 2004 conference on empirical methods in natural language processing. ACL, Barcelona, Spain, 404--411."},{"key":"e_1_3_2_2_16_1","first-page":"1","article-title":"Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer","volume":"21","author":"Raffel Colin","year":"2020","unstructured":"Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J Liu. 2020. Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. Journal of Machine Learning Research 21 (2020), 1--67.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_2_17_1","volume-title":"In Proceedings of the LREC 2010 workshop on new challenges for NLP frameworks. Citeseer, European Language Resources Association (ELRA), Valletta, Malta, 46--50","author":"Rehurek Radim","year":"2010","unstructured":"Radim Rehurek and Petr Sojka. 2010. Software framework for topic modelling with large corpora. In In Proceedings of the LREC 2010 workshop on new challenges for NLP frameworks. Citeseer, European Language Resources Association (ELRA), Valletta, Malta, 46--50."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"e_1_3_2_2_19_1","volume-title":"How the Fed Moves Markets: Central Bank Analysis for the Modern Era","author":"Schnidman Evan A","unstructured":"Evan A Schnidman and William D MacMillan. 2016. How the Fed Moves Markets: Central Bank Analysis for the Modern Era. Springer, New York, USA."},{"key":"e_1_3_2_2_20_1","volume-title":"S eq 2s eq-v is: A visual debugging tool for sequence-to-sequence models","author":"Strobelt Hendrik","year":"2018","unstructured":"Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, and Alexander M Rush. 2018. S eq 2s eq-v is: A visual debugging tool for sequence-to-sequence models. IEEE transactions on visualization and computer graphics 25, 1 (2018), 353--363."},{"key":"e_1_3_2_2_21_1","volume-title":"Lstmvis: A tool for visual analysis of hidden state dynamics in recurrent neural networks","author":"Strobelt Hendrik","year":"2017","unstructured":"Hendrik Strobelt, Sebastian Gehrmann, Hanspeter Pfister, and Alexander M Rush. 2017. Lstmvis: A tool for visual analysis of hidden state dynamics in recurrent neural networks. IEEE transactions on visualization and computer graphics 24, 1 (2017), 667--676."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-demos.15"},{"key":"e_1_3_2_2_23_1","volume-title":"Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017. Curran Associates, Inc., Long Beach, CA, USA, 5998--6008."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-4808"},{"key":"e_1_3_2_2_25_1","volume-title":"The what-if tool: Interactive probing of machine learning models","author":"Pushkarna Mahima","year":"2019","unstructured":"JamesWexler, Mahima Pushkarna, Tolga Bolukbasi, MartinWattenberg, Fernanda Vi\u00e9gas, and Jimbo Wilson. 2019. The what-if tool: Interactive probing of machine learning models. IEEE transactions on visualization and computer graphics 26, 1 (2019), 56--65."},{"key":"e_1_3_2_2_26_1","volume-title":"Mark Christopher Siy UY, and Allen Huang","author":"Yang Yi","year":"2020","unstructured":"Yi Yang, Mark Christopher Siy UY, and Allen Huang. 2020. Finbert: A pretrained language model for financial communications. arXiv preprint arXiv:2006.08097 (2020)."},{"key":"e_1_3_2_2_27_1","volume-title":"Manifold: A model-agnostic framework for interpretation and diagnosis of machine learning models","author":"Zhang Jiawei","year":"2018","unstructured":"Jiawei Zhang, Yang Wang, Piero Molino, Lezhi Li, and David S Ebert. 2018. Manifold: A model-agnostic framework for interpretation and diagnosis of machine learning models. IEEE transactions on visualization and computer graphics 25, 1 (2018), 364--373."}],"event":{"name":"SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Virtual Event Canada","acronym":"SIGIR '21","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3404835.3462785","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3404835.3462785","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:38:32Z","timestamp":1750199912000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3404835.3462785"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,11]]},"references-count":27,"alternative-id":["10.1145\/3404835.3462785","10.1145\/3404835"],"URL":"https:\/\/doi.org\/10.1145\/3404835.3462785","relation":{},"subject":[],"published":{"date-parts":[[2021,7,11]]},"assertion":[{"value":"2021-07-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}