{"id":392600,"date":"2017-07-11T15:13:10","date_gmt":"2017-07-11T22:13:10","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-group&#038;p=392600"},"modified":"2022-01-19T15:33:10","modified_gmt":"2022-01-19T23:33:10","slug":"languauge-and-information-technologies","status":"publish","type":"msr-group","link":"https:\/\/www.microsoft.com\/en-us\/research\/group\/languauge-and-information-technologies\/","title":{"rendered":"Language and Information Technologies"},"content":{"rendered":"<section class=\"mb-3 moray-highlight\">\n\t<div class=\"card-img-overlay mx-lg-0\">\n\t\t<div class=\"card-background  has-background- card-background--full-bleed\">\n\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"2000\" height=\"750\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/07\/Picture1.png\" class=\"attachment-full size-full\" alt=\"\" style=\"\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/07\/Picture1.png 2000w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/07\/Picture1-300x113.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/07\/Picture1-768x288.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/07\/Picture1-1024x384.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2017\/07\/Picture1-1920x720.png 1920w\" sizes=\"(max-width: 2000px) 100vw, 2000px\" \/>\t\t<\/div>\n\t\t<!-- Foreground -->\n\t\t<div class=\"card-foreground d-flex mt-md-n5 my-lg-5 px-g px-lg-0\">\n\t\t\t<!-- Container -->\n\t\t\t<div class=\"container d-flex mt-md-n5 my-lg-5 align-self-center\">\n\t\t\t\t<!-- Card wrapper -->\n\t\t\t\t<div class=\"w-100 w-lg-col-5\">\n\t\t\t\t\t<!-- Card -->\n\t\t\t\t\t<div class=\"card material-md-card py-5 px-md-5\">\n\t\t\t\t\t\t<div class=\"card-body \">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/www.microsoft.com\/en-us\/research\/lab\/microsoft-research-redmond\/\" class=\"icon-link icon-link--reverse mb-2\" data-bi-cN=\"Return to Microsoft Research Lab - Redmond\">\n\t\t\t\t\t\t\t\t\t<span class=\"c-glyph glyph-chevron-left\" aria-hidden=\"true\"><\/span>\n\t\t\t\t\t\t\t\t\tReturn to Microsoft Research Lab &#8211; Redmond\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\n<h1 id=\"language-and-information-technologies\" class=\"h2\">Language and Information Technologies<\/h1>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n\n\n<div class=\"wp-block-image is-style-default\"><figure class=\"alignright\"><img loading=\"lazy\" decoding=\"async\" width=\"300\" height=\"98\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2017\/07\/LIT-300x98.png\" alt=\"LIT logo\" class=\"wp-image-631485\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2017\/07\/LIT-300x98.png 300w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2017\/07\/LIT-1024x335.png 1024w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2017\/07\/LIT-768x251.png 768w, https:\/\/www.microsoft.com\/en-us\/research\/uploads\/prod\/2017\/07\/LIT.png 1133w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/figure><\/div>\n\n\n\n<p class=\"has-text-align-left\">The Language & Information Technologies Group at <a href=\"https:\/\/www.microsoft.com\/en-us\/research\/lab\/microsoft-research-ai\/\">Microsoft Research<\/a>\u00a0works at the intersection of natural language processing, machine learning and <span style=\"float: none; background-color: #ffffff; color: #333333; cursor: text; font-family: Georgia,'Times New Roman','Bitstream Charter',Times,serif; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; text-align: left; text-decoration: none; text-indent: 0px;\">information retrieval<\/span>.\u00a0Examples of current directions include natural language processing (e.g., question answering, semantic parsing, natural language interfaces, cross-lingual models, etc.), machine learning (specifically deep learning, transfer learning and weakly supervised learning).<\/p>\n\n\n\n<p class=\"has-text-align-left\">Our work has application in language understanding, question answering, intelligent assistants, search and personalization. Our work has been shipped in several experiences and products such as Bing, Cortana, Office 365, and Dynamics 365.<\/p>\n\n\n","protected":false},"excerpt":{"rendered":"<p>The Language and Information Technologies group harnesses AI to understand how people interact with information systems and develop new experiences to empower people to be\u00a0more productive. Our research interests are at the intersection of information retrieval, natural language understanding and applied machine learning. <\/p>\n","protected":false},"featured_media":399638,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_group_start":"","footnotes":""},"research-area":[13556,13545,13555],"msr-group-type":[243694],"msr-locale":[268875],"msr-impact-theme":[],"class_list":["post-392600","msr-group","type-msr-group","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-human-language-technologies","msr-research-area-search-information-retrieval","msr-group-type-group","msr-locale-en_us"],"msr_group_start":"","msr_detailed_description":"","msr_further_details":"","msr_hero_images":[],"msr_research_lab":[199565],"related-researchers":[{"type":"user_nicename","display_name":"Budhaditya Deb","user_id":36578,"people_section":"Group 1","alias":"budeb"},{"type":"guest","display_name":"Luciano Del Corro","user_id":782740,"people_section":"Group 1","alias":""},{"type":"user_nicename","display_name":"Ahmed Awadallah","user_id":31979,"people_section":"Group 1","alias":"hassanam"},{"type":"guest","display_name":"Julia Kiseleva","user_id":550146,"people_section":"Group 1","alias":""},{"type":"guest","display_name":"Milagro Teruel","user_id":782737,"people_section":"Group 1","alias":""},{"type":"guest","display_name":"Wei Wang","user_id":424767,"people_section":"Group 1","alias":""},{"type":"user_nicename","display_name":"Guoqing Zheng","user_id":37941,"people_section":"Group 1","alias":"zheng"}],"related-publications":[479370,479364,479352,451080,452959,419925,377003,419919,376904,377000,376994,387194,303677,240635,240614,240662,240641,387131,240647,240671,240683,240689,240698,240695,240701,240713,240728,166479,166478,240731,240740,240734,240725,240719,166347,166346,165714,165716,165715,165188,165717,331805,331820,331844,163995,163994,161586,511082,724084,841165,621462,772771,905178,650049,801439,547350,724090,847984,622797,779575,917982,660936,801448,547356,733255,863313,628500,779719,932463,665631,801469,1054431,559878,733630,863319,631497,779725,945906,670419,815029,568437,735688,863583,633978,779731,945927,692373,815257,568446,735694,863589,633993,779947,945933,692385,821809,583813,750337,878910,634005,783775,945939,698098,822361,583825,754180,888294,647787,784876,945948,709867,824794,587485,756058,893520,647799,785344,962712,710002,825085,621432,771001,893541,647814,786433,985959,511076,722989,836758,621435,772708,905169,650025,801337,993153],"related-downloads":[722551,742348,746887,749164,785155,787018,830524,850843,1001559,1001568,581656],"related-videos":[],"related-projects":[],"related-events":[],"related-opportunities":[],"related-posts":[],"tab-content":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/392600"}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-group"}],"version-history":[{"count":23,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/392600\/revisions"}],"predecessor-version":[{"id":933222,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group\/392600\/revisions\/933222"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/399638"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=392600"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=392600"},{"taxonomy":"msr-group-type","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-group-type?post=392600"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=392600"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=392600"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}