{"id":86,"date":"2025-01-11T08:16:50","date_gmt":"2025-01-11T06:16:50","guid":{"rendered":"https:\/\/elex.link\/elex2017\/?page_id=86"},"modified":"2025-09-09T13:31:30","modified_gmt":"2025-09-09T11:31:30","slug":"keynote-speakers","status":"publish","type":"page","link":"https:\/\/elex.link\/elex2025\/keynote-speakers\/","title":{"rendered":"Keynote speakers"},"content":{"rendered":"<div class='flex_column av-sl8e-71ab36620cf1b7a79a6b20e0e9fc3695 av_one_third  avia-builder-el-0  el_before_av_two_third  avia-builder-el-first  first flex_column_div '     ><p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-kosjpe0w-7d0de4e0114fc6ce5f8b426ec2559567\">\n.avia-image-container.av-kosjpe0w-7d0de4e0114fc6ce5f8b426ec2559567 img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-kosjpe0w-7d0de4e0114fc6ce5f8b426ec2559567 .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-kosjpe0w-7d0de4e0114fc6ce5f8b426ec2559567 av-styling-circle avia_animated_image av-animated-when-visible-95 bottom-to-top avia-align-center  avia-builder-el-1  el_before_av_image  avia-builder-el-first '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" class='wp-image-3832 avia-img-lazy-loading-not-3832 avia_image ' src=\"https:\/\/elex.link\/elex2025\/wp-content\/uploads\/CTiberius-300x225.jpg\" alt='' title='OLYMPUS DIGITAL CAMERA'  height=\"225\" width=\"300\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/elex.link\/elex2025\/wp-content\/uploads\/CTiberius-300x225.jpg 300w, https:\/\/elex.link\/elex2025\/wp-content\/uploads\/CTiberius-1030x773.jpg 1030w, https:\/\/elex.link\/elex2025\/wp-content\/uploads\/CTiberius-768x576.jpg 768w, https:\/\/elex.link\/elex2025\/wp-content\/uploads\/CTiberius-1536x1152.jpg 1536w, https:\/\/elex.link\/elex2025\/wp-content\/uploads\/CTiberius-2048x1536.jpg 2048w, https:\/\/elex.link\/elex2025\/wp-content\/uploads\/CTiberius-1500x1125.jpg 1500w, https:\/\/elex.link\/elex2025\/wp-content\/uploads\/CTiberius-705x529.jpg 705w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/div><\/div><\/div><br \/>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-m70t97ca-8e567a477730aa098b3b380b50235876\">\n.avia-image-container.av-m70t97ca-8e567a477730aa098b3b380b50235876 img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-m70t97ca-8e567a477730aa098b3b380b50235876 .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-m70t97ca-8e567a477730aa098b3b380b50235876 av-styling-circle avia_animated_image av-animated-when-visible-95 bottom-to-top avia-align-center  avia-builder-el-2  el_after_av_image  avia-builder-el-last '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" class='wp-image-3833 avia-img-lazy-loading-not-3833 avia_image ' src=\"https:\/\/elex.link\/elex2025\/wp-content\/uploads\/jesse-de-does.jpg\" alt='' title='jesse-de-does'  height=\"250\" width=\"250\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/elex.link\/elex2025\/wp-content\/uploads\/jesse-de-does.jpg 250w, https:\/\/elex.link\/elex2025\/wp-content\/uploads\/jesse-de-does-80x80.jpg 80w, https:\/\/elex.link\/elex2025\/wp-content\/uploads\/jesse-de-does-36x36.jpg 36w, https:\/\/elex.link\/elex2025\/wp-content\/uploads\/jesse-de-does-180x180.jpg 180w\" sizes=\"(max-width: 250px) 100vw, 250px\" \/><\/div><\/div><\/div><\/p><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-dxm62-092e9e9ffbe125679f31b86a646acfb3\">\n.flex_column.av-dxm62-092e9e9ffbe125679f31b86a646acfb3{\n-webkit-border-radius:0px 0px 0px 0px;\n-moz-border-radius:0px 0px 0px 0px;\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div class='flex_column av-dxm62-092e9e9ffbe125679f31b86a646acfb3 av_two_third  avia-builder-el-3  el_after_av_one_third  el_before_av_hr  flex_column_div av-zero-column-padding '     ><section  class='av_textblock_section av-ct9uq-4c039b4f6a96a9131e191cea61743581'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><h2 id=\"1\">Carole Tiberius &#038; Jesse de Does<\/h2>\n<p><strong>Dutch Language Institute, Netherlands<\/strong><\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-m70l91ul-3364367b05fa5bf16f0b22cba69d4a38'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><p><span style=\"font-weight: 400;\"><strong>Carole Tiberius<\/strong> is professor of Computational Linguistics at the Leiden University Centre for Linguistics (LUCL) and a senior computational linguist at the Instituut voor de Nederlandse Taal (INT, Dutch Language Institute).<\/span><\/p>\n<p><span style=\"font-weight: 400;\">She holds degrees from the Higher Institute for Translators and Interpreters in Antwerp and the University of Nijmegen (MA in Language, Speech and Computer Science) as well as a PhD from the University of Brighton on research into \u2018multilingual lexical knowledge representation\u2019.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Her research interests lie in the domains of computational lexicography and corpus linguistics. At the Dutch Language Institute, she is primarily involved in contemporary lexicographic projects such as the <\/span><i><span style=\"font-weight: 400;\">Vertaalwoordenschat<\/span><\/i><span style=\"font-weight: 400;\">, an online platform for bilingual dictionaries and <\/span><i><span style=\"font-weight: 400;\">Woordcombinaties<\/span><\/i><span style=\"font-weight: 400;\">, a project combining collocations and pattern analysis for Dutch. She is one of the authors of <\/span><i><span style=\"font-weight: 400;\">A Frequency Dictionary of Dutch<\/span><\/i><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\"><strong>Jesse de Does<\/strong> is a senior computational linguist at the Instituut voor de Nederlandse Taal (INT, Dutch Language Institute).\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">He holds degrees in mathematics and Slavic linguistics. From 1986 to 1990, he worked as a research assistant in the Department of Slavic Language and Literature at Leiden University. In 1995, he obtained his PhD in applied mathematics.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">His professional interests are historical language processing, linguistic annotation, corpus retrieval and language resource development. Since 2008, he has been closely involved in various international and national projects, such as IMPACT, SUCCEED, tranScriptorium, CLARIN-NL, CLARIAH and SSHOC-NL. He is currently the SSHOC-NL project leader for the institute and a member of the senior team.<\/span><\/p>\n<\/div><\/section><br \/>\n<div  class='togglecontainer av-lhop6yy6-55264484c791395db5e6db3da73575fb  avia-builder-el-6  el_after_av_textblock  avia-builder-el-last  toggle_close_all' >\n<section class='av_toggle_section av-lhop6yit-42c7770e824c14e4c060c16e04836004'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p data-fake-id='#toggle-id-1' class='toggler   '  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-1'>KEYNOTE: LLMs and lexicography at the Dutch Language Institute<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-1' class='toggle_wrap  '  ><div class='toggle_content invers-color '  itemprop=\"text\" ><p>The Dutch Language Institute (INT) has a long tradition compiling historic and contemporary dictionaries and other types of lexicographic databases, mainly for Dutch but also for some other languages with a relation to Dutch. Lexicographic work at the institute is computer-supported but there is still a great deal of manual work involved. Therefore, INT is exploring how new technologies (including LLMs) can be used for optimising different parts of the lexicographic work without compromising data quality and reliability. After a brief overview of various pilot studies conducted at the institute, we will take a closer look at how we can make the implementation of Hanks\u2019 Corpus Pattern Analysis procedure (as it is used in the context of the project\u00a0<a title=\"https:\/\/woordcombinaties.ivdnt.org\/\" href=\"https:\/\/woordcombinaties.ivdnt.org\/\" target=\"_blank\" rel=\"noopener noreferrer\" data-auth=\"NotApplicable\" data-linkindex=\"0\">Woordcombinaties<\/a>) more intelligent. This way, we hope to ultimately realise Patrick Hanks\u2019 vision that \u201cit seems likely that a large part of the work that is currently being carried out by hand will be automated in the not-too-distant future\u201d (Hanks 2013;247).<\/p>\n<\/div><\/div><\/div><\/section>\n<\/div><\/p><\/div><div  class='hr av-1yvdm-fad58326ac455b639be49d6777c43100 hr-default  avia-builder-el-7  el_after_av_two_third  el_before_av_two_third '><span class='hr-inner '><span class=\"hr-inner-style\"><\/span><\/span><\/div><\/p>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1kjem-7e03f97905577dae602eee646b27a1da\">\n.flex_column.av-1kjem-7e03f97905577dae602eee646b27a1da{\n-webkit-border-radius:0px 0px 0px 0px;\n-moz-border-radius:0px 0px 0px 0px;\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div class='flex_column av-1kjem-7e03f97905577dae602eee646b27a1da av_two_third  avia-builder-el-8  el_after_av_hr  el_before_av_one_third  first flex_column_div av-zero-column-padding '     ><section  class='av_textblock_section av-lam89jnx-cdf69069da9235c3e6f0a4c9dda5e411'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><h2 id=\"1\">Marko Robnik-\u0160ikonja<\/h2>\n<p><strong>Faculty of Computer and Information Science, University of Ljubljana, Slovenia<\/strong><\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-m70l9w48-cf6ae7f43a77eb4bb038d584ee11d833'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><p><strong>Marko Robnik-\u0160ikonja<\/strong> is a Professor of Computer Science and Informatics at the University of Ljubljana, Faculty of Computer and Information Science, and head of Machine Learning and Language Technology Lab. His research interests span machine learning, data mining, natural language processing, and explainable artificial intelligence. His most notable scientific results concern deep learning, natural language analysis, feature evaluation, ensemble learning, predictive model explanation, information network analysis, and data generation. He is (co)author of over 250 scientific publications cited more than 9,500 times. He has contributed to several national and EU projects and authored several data mining software packages and language resources.<\/p>\n<\/div><\/section><br \/>\n<div  class='togglecontainer av-2x0ba-ca3ce8357fc011083b0584acca51192d  avia-builder-el-11  el_after_av_textblock  avia-builder-el-last  toggle_close_all' >\n<section class='av_toggle_section av-1zqs6-61b7ec9d21caf8cc6f77fe63d16ba705'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p data-fake-id='#toggle-id-2' class='toggler   '  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-2'>KEYNOTE TITLE: Large language models for lexicography<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-2' class='toggle_wrap  '  ><div class='toggle_content invers-color '  itemprop=\"text\" ><p>Currently, large language models (LLMs) are redefining methodological approaches in many scientific areas, including linguistics and lexicography. LLMs are pretrained on huge text corpora by predicting the next tokens and adapted for human interaction with the instruction following datasets. This does not make them immune to hallucinations and biases, requiring a human-in-the-loop approach. In the context of lexicography, LLMs can be used to support several tasks. We will present how the information contained in language databases can be utilized to improve LLMs on lexicographic tasks. Our current methodology is based on knowledge graph extraction, continued pretraining of LLMs, prompt engineering, and semi-automatic evaluation.<\/p>\n<\/div><\/div><\/div><\/section>\n<\/div><\/p><\/div>\n<div class='flex_column av-47au-42e1d01bdede521c30299b1f3582e56d av_one_third  avia-builder-el-12  el_after_av_two_third  el_before_av_hr  flex_column_div '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lam8gr5x-07fc4537dc515c43d43b89afef025119\">\n.avia-image-container.av-lam8gr5x-07fc4537dc515c43d43b89afef025119 img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-lam8gr5x-07fc4537dc515c43d43b89afef025119 .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-lam8gr5x-07fc4537dc515c43d43b89afef025119 av-styling-circle avia_animated_image av-animated-when-visible-95 bottom-to-top avia-align-center  avia-builder-el-13  avia-builder-el-no-sibling '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" class='wp-image-3789 avia-img-lazy-loading-not-3789 avia_image ' src=\"https:\/\/elex.link\/elex2025\/wp-content\/uploads\/Portret-MarkoRobnik-Sikonja-225x300.jpg\" alt='' title='Portret MarkoRobnik-\u0160ikonja'  height=\"300\" width=\"225\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/elex.link\/elex2025\/wp-content\/uploads\/Portret-MarkoRobnik-Sikonja-225x300.jpg 225w, https:\/\/elex.link\/elex2025\/wp-content\/uploads\/Portret-MarkoRobnik-Sikonja.jpg 435w\" sizes=\"(max-width: 225px) 100vw, 225px\" \/><\/div><\/div><\/div><\/div>\n<div  class='hr av-1xkru-c13122ce696ed12e0f0f68b38466f39f hr-default  avia-builder-el-14  el_after_av_one_third  el_before_av_one_third '><span class='hr-inner '><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n<div class='flex_column av-194iy-3236f7971a7e862dc1869c645242a616 av_one_third  avia-builder-el-15  el_after_av_hr  el_before_av_two_third  first flex_column_div '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-lbxdw03b-2562c3b62ac51e692ec7bcd9d53fe4be\">\n.avia-image-container.av-lbxdw03b-2562c3b62ac51e692ec7bcd9d53fe4be img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-lbxdw03b-2562c3b62ac51e692ec7bcd9d53fe4be .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-lbxdw03b-2562c3b62ac51e692ec7bcd9d53fe4be av-styling-circle avia_animated_image av-animated-when-visible-95 bottom-to-top avia-align-center  avia-builder-el-16  avia-builder-el-no-sibling '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" class='wp-image-3818 avia-img-lazy-loading-not-3818 avia_image ' src=\"https:\/\/elex.link\/elex2025\/wp-content\/uploads\/mechura-300x300.jpg\" alt='' title='mechura'  height=\"300\" width=\"300\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/elex.link\/elex2025\/wp-content\/uploads\/mechura-300x300.jpg 300w, https:\/\/elex.link\/elex2025\/wp-content\/uploads\/mechura-80x80.jpg 80w, https:\/\/elex.link\/elex2025\/wp-content\/uploads\/mechura-36x36.jpg 36w, https:\/\/elex.link\/elex2025\/wp-content\/uploads\/mechura-180x180.jpg 180w, https:\/\/elex.link\/elex2025\/wp-content\/uploads\/mechura.jpg 460w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/div><\/div><\/div><\/div>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1434e-ae6d2ff48f6d764fde03112b4171972c\">\n.flex_column.av-1434e-ae6d2ff48f6d764fde03112b4171972c{\n-webkit-border-radius:0px 0px 0px 0px;\n-moz-border-radius:0px 0px 0px 0px;\nborder-radius:0px 0px 0px 0px;\npadding:0px 0px 0px 0px;\n}\n<\/style>\n<div class='flex_column av-1434e-ae6d2ff48f6d764fde03112b4171972c av_two_third  avia-builder-el-17  el_after_av_one_third  el_before_av_hr  flex_column_div av-zero-column-padding '     ><section  class='av_textblock_section av-lbxdyri3-a8ca013ca2eba3754d20fde7d6f6c9b7'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><h2 id=\"1\">Michal M\u011bchura<\/h2>\n<p><strong>Lexical Computing and Dublin City University<\/strong><\/p>\n<\/div><\/section><br \/>\n<section  class='av_textblock_section av-m70lagbm-8dc7355a2225cf52b17f94c6a6c40334'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><p><strong>Michal M\u011bchura<\/strong> is a language technologist with two decades of experience building IT solutions for lexicography, terminology and onomastics. He has worked on projects such as the National Terminology Database for Irish, the Placenames Database of Ireland and the New English\u2013Irish Dictionary. He is the founder of the open-source dictionary writing system Lexonomy and the author of Terminologue, an open-source terminology management platform. Recently, Michal has been chairing the LEXIDMA technical committee in OASIS which has created DMLex, a modern data model for lexicography.<\/p>\n<\/div><\/section><br \/>\n<div  class='togglecontainer av-lidaikvq-8d34ff15fc40851b2947c712e339bad6  avia-builder-el-20  el_after_av_textblock  avia-builder-el-last  toggle_close_all' >\n<section class='av_toggle_section av-lidaikfb-0ce7a063379b5a6e0c42aad22fb176e9'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  ><p data-fake-id='#toggle-id-3' class='toggler   '  itemprop=\"headline\"  role='tab' tabindex='0' aria-controls='toggle-id-3'>KEYNOTE: We need to talk about data structures in lexicography<span class=\"toggle_icon\"><span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p><div id='toggle-id-3' class='toggle_wrap  '  ><div class='toggle_content invers-color '  itemprop=\"text\" ><p data-olk-copy-source=\"MessageBody\">It has been almost half a century since we started \u201cdoing\u201d lexicography on computers. Let\u2019s stop for a minute now and take a critical look at the data models we have been using to represent the structure of dictionaries in dictionary writing systems and other software.<\/p>\n<p>In this talk, I will trace the history of lexicographic data modelling from its beginnings as text markup for retro-digitised dictionaries, to the present day when most dictionaries are born-digital. I will show that, regardless of which notation we use (XML, JSON or other), the underlying design pattern is almost always a tree structure in which the various content items (headwords, senses, definitions\u2026) are arranged in a parent-child hierarchy.<\/p>\n<p>I will argue that the tree-structured pattern is not expressive enough to handle some phenomena that occur in dictionaries, such as entry-to-entry cross-references, the placement of multiword subentries, and complex hierarchies of subsenses. These things would be easier to manage in a graph-based data structure, such as a relational database or a Semantic Web-style knowledge graph.<\/p>\n<p>Dictionary projects which insist on a purely tree-structured data model are failing to make full use of the digital medium. But upgrading to a graph-based data model is difficult because tree-structured thinking is entrenched in the minds of lexicographers and dictionary users alike. This talk will conclude with an introduction to DMLex, a recently standardised \u201cData Model for Lexicography\u201d which aims to ease this transition by being a hybrid model, combining tree structures where possible with graph structures where necessary.<\/p>\n<\/div><\/div><\/div><\/section>\n<\/div><\/p><\/div>\n<div  class='hr av-1wk4e-cc121e1278636f65557556c23244eaab hr-default  avia-builder-el-21  el_after_av_two_third  avia-builder-el-last '><span class='hr-inner '><span class=\"hr-inner-style\"><\/span><\/span><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":105,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-86","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Keynote speakers - eLex 2025<\/title>\n<meta name=\"description\" content=\"Keynote speakers at the eLex 2025 conference: Carole Tiberius, Jesse de Does, Marko Robnik-\u0160ikonja, Michal M\u011bchura.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/elex.link\/elex2025\/keynote-speakers\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Keynote speakers - 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