Natural Language Processing In Healthcare: A Special Focus on Low Resource Languages
暫譯: 醫療保健中的自然語言處理：專注於低資源語言

隨著自然語言處理（Natural Language Processing, NLP）在醫療應用中越來越受到重視，對於開發能夠理解、分析和生成可供人類理解的語言的解決方案的需求也在不斷增加。

Dr. Ondřej Bojar is a lead scientist in the field of Machine Translation in the Czech Republic. He works as an associate professor at the Institute of Formal and Applied Linguistics at Charles University. Machine translation has been in the center of his research interests since 2005, early in his Ph.D. studies. He has been regularly participating and since 2013 co-organizing WMT shared tasks with a specific focus on translation into Czech. His system has dominated English-Czech translation in the years 2013-2015, before deep learning and neural networks fundamentally changed the field. Ondřej's main focus now is a little broader and entails machine learning in general with explicit aims towards meaning representation and natural language understanding, including speech processing.

Dr. Satya Ranjan Dash is a computer professional, with his research interest in machine learning, deep learning with NLP, Computational Biology, and Biomedical domain. He is currently working as an associate professor at KIIT University, India. His current research includes Natural Language Processing, particularly text summarization, topic detection, language detection, machine translation for low resource languages.

Dr. Shantipriya Parida works as a Post-doctoral researcher at Idiap Research Institute, Switzerland since Feb 2019. His current research includes Natural Language Processing, particularly text summarization, topic detection, language detection, machine translation for Indian languages, multi-modal machine translation, and corpus development for low resource Indian language. Before Idiap, he was working as a Post-doctoral researcher with Prof. Ondřej Bojar at Charles University, Prague working on Machine Translation, and Deep Learning. He has expertise in Machine Learning, AI, Computational Neuroscience, Product Development, System/Solution Architecture. He is an organizing committee member for Workshop on Asian Translation WAT2019 and WAT2020. Along with Prof. Ondřej Bojar organized the WAT2019 Multimodal-Translation Task. He also serves as a program committee member for the LREC 2020 Workshop on Indian Language Data: Resources and Evaluation (WILDRE).

Dr. Esaú Villatoro holds a tenure position at the Universidad Autónoma Metropolitana campus Cuajimalpa (UAM-C) in Mexico City. Currently, he is an academic visitor at Idiap Research Institute in Martigny Switzerland. His main research interests are related to Natural Language Processing, particularly authorship analysis, and non-thematic text categorization. He is an active member of several research groups and NLP organizations: the Language and Reasoning research Group at UAM-C, the Laboratory of Language Technologies at the National Institute of Astrophysics, Optics and Electronics, the Mexican Association for Natural Language Processing (AMPLN), the Hispano-American Network for Automatic Human Language Processing (RedHisTAL) and the Mexican Academy of Computer Science (AMEXCOMP).

Biswa Ranjan Acharya is an academic currently associated with Kalinga Institute of Industrial Technology Deemed to be University along with pursuing a Ph.D. in computer application from Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha, India. He has received MCA in 2009 from IGNOU, New Delhi, India and M.Tech in Computer Science and Engineering in the year of 2012 from Biju Pattanaik University of Technology (BPUT), Odisha, India. He is also associated with various educational and research societies like IEEE, IACSIT, CSI, IAENG, and ISC. He has 2 years of industry experience as a software engineer, a total of 10 years of experience in both academia of some reputed universities like Ravenshaw University and the software development field. He is currently working on research area multiprocessor scheduling along with different fields like Data Analytics, Computer Vision, Machine Learning, and IoT. He published some research articles in internationally reputable journals as well as serving as a reviewer.

Dr. Ondřej Bojar 是捷克共和國機器翻譯領域的首席科學家。他在查爾斯大學的形式與應用語言學研究所擔任副教授。自2005年以來，機器翻譯一直是他研究興趣的核心，當時他正處於博士學位的早期階段。他定期參加並自2013年起共同組織 WMT 共享任務，特別專注於捷克語的翻譯。他的系統在2013年至2015年間主導了英捷翻譯，之後深度學習和神經網絡徹底改變了這一領域。Ondřej 現在的主要研究重點稍微更廣泛，涉及機器學習，並明確針對意義表示和自然語言理解，包括語音處理。

Dr. Satya Ranjan Dash 是一位計算機專業人士，研究興趣包括機器學習、深度學習與自然語言處理、計算生物學和生物醫學領域。他目前在印度 KIIT 大學擔任副教授。他目前的研究包括自然語言處理，特別是文本摘要、主題檢測、語言檢測和低資源語言的機器翻譯。

Dr. Shantipriya Parida 自2019年2月以來在瑞士 Idiap 研究所擔任博士後研究員。他目前的研究包括自然語言處理，特別是文本摘要、主題檢測、語言檢測、印度語言的機器翻譯、多模態機器翻譯以及低資源印度語言的語料庫開發。在加入 Idiap 之前，他曾在查爾斯大學布拉格的 Ondřej Bojar 教授指導下擔任博士後研究員，專注於機器翻譯和深度學習。他在機器學習、人工智慧、計算神經科學、產品開發和系統/解決方案架構方面擁有專業知識。他是 WAT2019 和 WAT2020 亞洲翻譯研討會的組織委員會成員，並與 Ondřej Bojar 教授共同組織了 WAT2019 多模態翻譯任務。他還擔任 LREC 2020 印度語言數據：資源與評估研討會（WILDRE）的程序委員會成員。

Dr. Esaú Villatoro 在墨西哥城的 Universidad Autónoma Metropolitana Cuajimalpa 校區（UAM-C）擔任終身職位。目前，他是瑞士 Martigny 的 Idiap 研究所的學術訪客。他的主要研究興趣與自然語言處理有關，特別是作者分析和非主題文本分類。他是幾個研究小組和自然語言處理組織的活躍成員：UAM-C 的語言與推理研究小組、國家天文學、光學與電子學研究所的語言技術實驗室、墨西哥自然語言處理協會（AMPLN）、西班牙美洲自動人類語言處理網絡（RedHisTAL）以及墨西哥計算機科學學會（AMEXCOMP）。

Biswa Ranjan Acharya 是一名學者，目前與 Kalinga Institute of Industrial Technology Deemed to be University 相關聯，同時在印度奧里薩邦的 Veer Surendra Sai University of Technology (VSSUT) 追求計算機應用的博士學位。他於2009年從印度新德里的 IGNOU 獲得 MCA，並於2012年從印度奧里薩邦的 Biju Pattanaik University of Technology (BPUT) 獲得計算機科學與工程的碩士學位。他還與多個教育和研究社團如 IEEE、IACSIT、CSI、IAENG 和 ISC 相關聯。他擁有2年的軟體工程行業經驗，以及在一些知名大學如 Ravenshaw University 的學術經驗，總計10年。他目前的研究領域包括多處理器排程，以及數據分析、計算機視覺、機器學習和物聯網等不同領域。他在國際知名期刊上發表了一些研究文章，並擔任審稿人。