{"645832":{"#nid":"645832","#data":{"type":"news","title":"Assistant Professor Earns 2020 Salesforce AI Research Grant","body":[{"value":"\u003Cp\u003ESchool of Interactive Computing Assistant Professor \u003Cstrong\u003EDiyi Yang\u003C\/strong\u003E was named a \u003Ca href=\u0022https:\/\/blog.einstein.ai\/celebrating-the-winners-of-the-third-annual-salesforce-ai-research-grant\/\u0022\u003ESalesforce AI Research Grant Winner for 2020\u003C\/a\u003E. One of seven winners of the award, she will receive a $50,000 grant to advance her work. It is the third year the grant has been provided by Salesforce.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EYang\u0026rsquo;s research, which is being led by her Ph.D. student \u003Cstrong\u003EJiaao Chen\u003C\/strong\u003E, aims to alleviate dependence of supervised models on labeled data via data augmentation approaches. Supervised learning is the machine learning task of learning a function that maps an input to an output based on example pairs, inferring the function from training data that has been tagged with identifying properties or characteristics (labeled data).\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe hope is that they may improve upon the ability to transfer models from one setting to another despite the relative lack of intensive training examples.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;In the era of deep learning, natural language processing (NLP) has achieved extremely good performances in most data-intensive settings,\u0026rdquo; Yang said. \u0026ldquo;However, when there are only one or a few training examples, supervised deep learning models often fail. This strong dependence on labeled data largely prevents neural network models from being applied to new settings or real-world situations.\u0026rdquo;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EYang\u0026rsquo;s group has published a couple of papers in this field already, and she said the Salesforce grant will further support efforts to extend it to broader contexts, especially when NLP tasks involve complicated outputs.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026ldquo;These examples might include performing named entity recognition that finds the important information in a text, or semantic parsing that converts a natural language sentence into a structured command,\u0026rdquo; she said.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EYou can read previous papers on the subject at the links below:\u003C\/p\u003E\r\n\r\n\u003Cul\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/www.cc.gatech.edu\/~dyang888\/docs\/mixtext_acl_2020.pdf\u0022\u003E\u003Cem\u003EMixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification (Jiaao Chen, Zichao Yang, Diyi Yang)\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\t\u003Cli\u003E\u003Ca href=\u0022https:\/\/arxiv.org\/pdf\/2010.01677.pdf\u0022\u003E\u003Cem\u003ELocal Additivity Based Data Augmentation for Semi-supervised NER (Jiaao Chen, Zhenghui Wang, Ran Tian, Zichao Yang, Diyi Yang)\u003C\/em\u003E\u003C\/a\u003E\u003C\/li\u003E\r\n\u003C\/ul\u003E\r\n\r\n\u003Cp\u003EYang was chosen from a group of over 180 quality proposals from more than 30 countries.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Yang\u2019s research, which is being led by her Ph.D. student Jiaao Chen, aims to alleviate dependence of supervised models on labeled data via data augmentation approaches."}],"uid":"33939","created_gmt":"2021-03-29 14:42:23","changed_gmt":"2021-03-29 14:42:23","author":"David Mitchell","boilerplate_text":"","field_publication":"","field_article_url":"","dateline":{"date":"2021-03-29T00:00:00-04:00","iso_date":"2021-03-29T00:00:00-04:00","tz":"America\/New_York"},"extras":[],"hg_media":{"630588":{"id":"630588","type":"image","title":"Diyi Yang 2020","body":null,"created":"1578338255","gmt_created":"2020-01-06 19:17:35","changed":"1578338255","gmt_changed":"2020-01-06 19:17:35","alt":"","file":{"fid":"240080","name":"Diyi_Yang.jpg","image_path":"\/sites\/default\/files\/images\/Diyi_Yang.jpg","image_full_path":"http:\/\/www.tlwarc.hg.gatech.edu\/\/sites\/default\/files\/images\/Diyi_Yang.jpg","mime":"image\/jpeg","size":194720,"path_740":"http:\/\/www.tlwarc.hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Diyi_Yang.jpg?itok=4tiEUD-y"}}},"media_ids":["630588"],"groups":[{"id":"47223","name":"College of Computing"},{"id":"1299","name":"GVU Center"},{"id":"576481","name":"ML@GT"},{"id":"431631","name":"OMS"},{"id":"50876","name":"School of Interactive Computing"}],"categories":[],"keywords":[],"core_research_areas":[{"id":"39501","name":"People and Technology"},{"id":"39521","name":"Robotics"}],"news_room_topics":[],"event_categories":[],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EDavid Mitchell\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECommunications Officer\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Ca href=\u0022mailto:david.mitchell@cc.gatech.edu\u0022\u003Edavid.mitchell@cc.gatech.edu\u003C\/a\u003E\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}