{"663749":{"#nid":"663749","#data":{"type":"event","title":"Phd Proposal by Mounica Maddela","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle: \u003C\/strong\u003EBuilding and Evaluating Controllable Models for Text Simplification\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EDate: \u003C\/strong\u003EFriday, December 16, 2022\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ETime: \u003C\/strong\u003E1pm - 3pm EST\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ELocation\u003C\/strong\u003E: Coda C0903 Ansley\u0026nbsp;\u0026amp; \u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/97648391475\u0022 title=\u0022https:\/\/gatech.zoom.us\/j\/97648391475\u0022\u003EZoom link\u003C\/a\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EMounica Maddela\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EPhD Student in Computer Science\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Interactive Computing\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECollege of Computing\u003C\/p\u003E\r\n\r\n\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Wei Xu (Advisor), School of Interactive Computing, Georgia Tech\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Alan Ritter, School of Interactive Computing, Georgia Tech\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Mark Riedl, School of Interactive Computing, Georgia Tech\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Colin Cherry, Google Research\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Y-Lan Boureau, Meta AI Research\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAlthough the existing natural language generation systems (NLG) have made great progress in generating fluent text indistinguishable from human written text, they still lack the capability to adapt to specific constraints or attributes in practical applications. There has been an emerging trend in NLG to develop controllable methods for text generation that generate texts by controlling different attributes such as sentiment, formality, politeness, and topic.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this thesis, I focus on controllable text generation for the task of Automatic Text Simplification (ATS). ATS aims to improve the readability of texts with simpler grammar and word choices\u0026nbsp;while preserving the original meaning. It is an audience-dependent task because the readability constraints vary based on the target population. Therefore, controllability is essential for the ATS systems to generate text adhering to diverse constraints. An ideal automatic simplification system should be able to control various attributes of the generated text such as syntactic structures, length, readability levels, and word choices that are appropriate for the situation. However, the existing simplification systems lack the capability to adapt to different readability constraints.\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this work, I develop novel controllable approaches for ATS that combine linguistic rules with neural approaches to generate simplified text at different readability levels. Apart from building controllable systems, I also propose reliable human evaluation and automatic evaluation approaches to assess machine-generated simplified text.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Building and Evaluating Controllable Models for Text Simplification"}],"uid":"27707","created_gmt":"2022-12-08 20:41:06","changed_gmt":"2022-12-08 20:41:06","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-12-16T13:00:00-05:00","event_time_end":"2022-12-16T15:00:00-05:00","event_time_end_last":"2022-12-16T15:00:00-05:00","gmt_time_start":"2022-12-16 18:00:00","gmt_time_end":"2022-12-16 20:00:00","gmt_time_end_last":"2022-12-16 20:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}