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To participate in a new field, or even a sub-field, one must be aware of the terminology including the acronyms that specialists know so well, but newcomers do not.<\/jats:p>\n          <jats:p>\n            Building on state-of-the art acronym tools, our\n            <jats:italic>end-to-end acronym expander system<\/jats:italic>\n            called\n            <jats:italic>AcX<\/jats:italic>\n            takes a document, identifies its acronyms, and suggests expansions that are either found in the document or appropriate given the subject matter of the document. As far as we know, AcX is the first open source and extensible system for acronym expansion that allows mixing and matching of different inference modules. As of now, AcX works for English, French, and Portuguese with other languages in progress.\n          <\/jats:p>\n          <jats:p>\n            This paper describes the design and implementation of AcX, proposes\n            <jats:italic>three new acronym expansion benchmarks<\/jats:italic>\n            , compares state-of-the-art techniques on them, and proposes ensemble techniques that improve on any single technique.\n          <\/jats:p>\n          <jats:p>Finally, the paper evaluates the performance of AcX and related work MadDog system in end-to-end experiments on a new human-annotated dataset of Wikipedia documents. Our experiments show that AcX outperforms MadDog but that human performance is still substantially better than the best automated approaches. Thus, achieving Acronym Expansion at a human level is still a rich and open challenge.<\/jats:p>","DOI":"10.14778\/3551793.3551812","type":"journal-article","created":{"date-parts":[[2022,9,29]],"date-time":"2022-09-29T22:25:03Z","timestamp":1664490303000},"page":"2530-2544","source":"Crossref","is-referenced-by-count":0,"title":["AcX"],"prefix":"10.14778","volume":"15","author":[{"given":"Jo\u00e3o L. M.","family":"Pereira","sequence":"first","affiliation":[{"name":"Universidade de Lisboa, and University of Amsterdam"}]},{"given":"Jo\u00e3o","family":"Casanova","sequence":"additional","affiliation":[{"name":"Hitachi Vantara"}]},{"given":"Helena","family":"Galhardas","sequence":"additional","affiliation":[{"name":"Universidade de Lisboa"}]},{"given":"Dennis","family":"Shasha","sequence":"additional","affiliation":[{"name":"New York University"}]}],"member":"320","published-online":{"date-parts":[[2022,9,29]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"ABBREX. 2011. 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Le and Tomas Mikolov. 2014 . Distributed Representations of Sentences and Documents. In International Conference on Machine Learning ( Beijing, China) , Vol. 32 . 1188--1196. Quoc V. Le and Tomas Mikolov. 2014. Distributed Representations of Sentences and Documents. In International Conference on Machine Learning (Beijing, China), Vol. 32. 1188--1196."},{"key":"e_1_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1018"},{"key":"e_1_2_1_42_1","volume-title":"Acronym Disambiguation Using Word Embedding. In AAAI Conference on Artificial Intelligence","author":"Li Chao","year":"2015","unstructured":"Chao Li , Lei Ji , and Jun Yan . 2015 . Acronym Disambiguation Using Word Embedding. In AAAI Conference on Artificial Intelligence ( Austin, Texas). 4178--4179. Chao Li, Lei Ji, and Jun Yan. 2015. Acronym Disambiguation Using Word Embedding. In AAAI Conference on Artificial Intelligence (Austin, Texas). 4178--4179."},{"key":"e_1_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1121"},{"key":"e_1_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmedinf.2022.104753"},{"key":"e_1_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2016.06.045"},{"key":"e_1_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.364"},{"key":"e_1_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.2109.12424"},{"key":"e_1_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.205"},{"key":"e_1_2_1_49_1","volume-title":"Efficient Estimation of Word Representations in Vector Space. Computing Research Repository arXiv:1301.3781","author":"Mikolov Tomas","year":"2013","unstructured":"Tomas Mikolov , Kai Chen , Greg Corrado , and Jeffrey Dean . 2013. Efficient Estimation of Word Representations in Vector Space. Computing Research Repository arXiv:1301.3781 ( 2013 ). https:\/\/arxiv.org\/abs\/1301.3781 version 3. Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Efficient Estimation of Word Representations in Vector Space. Computing Research Repository arXiv:1301.3781 (2013). https:\/\/arxiv.org\/abs\/1301.3781 version 3."},{"key":"e_1_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.4258\/hir.2015.21.1.35"},{"key":"e_1_2_1_51_1","volume-title":"AMIA Annual Symposium proceedings 2012","author":"Moon Sungrim","year":"2012","unstructured":"Sungrim Moon , Serguei Pakhomov , and Genevieve B Melton . 2012 . Automated disambiguation of acronyms and abbreviations in clinical texts: window and training size considerations . AMIA Annual Symposium proceedings 2012 (2012), 1310--1319. Sungrim Moon, Serguei Pakhomov, and Genevieve B Melton. 2012. Automated disambiguation of acronyms and abbreviations in clinical texts: window and training size considerations. 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AMIA Annual Symposium proceedings 2005 (2005), 589--593."},{"key":"e_1_2_1_57_1","volume-title":"Byrd","author":"Park Youngja","year":"2001","unstructured":"Youngja Park and Roy J . Byrd . 2001 . Hybrid Text Mining for Finding Abbreviations and their Definitions. In Empirical Methods in Natural Language Processing . https:\/\/www.aclweb.org\/anthology\/W01-0516 Youngja Park and Roy J. Byrd. 2001. Hybrid Text Mining for Finding Abbreviations and their Definitions. In Empirical Methods in Natural Language Processing. https:\/\/www.aclweb.org\/anthology\/W01-0516"},{"key":"e_1_2_1_58_1","volume-title":"Improving Zero-Shot Entity Retrieval through Effective Dense Representations. Computing Research Repository arXiv:2103.04156","author":"Partalidou Eleni","year":"2021","unstructured":"Eleni Partalidou , Despina Christou , and Grigorios Tsoumakas . 2021. Improving Zero-Shot Entity Retrieval through Effective Dense Representations. 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