{"id":127466,"date":"2021-11-25T09:21:09","date_gmt":"2021-11-25T08:21:09","guid":{"rendered":"https:\/\/uniavisen.dk\/event\/phd-defence-by-rahul-rajendra-arailkatte\/"},"modified":"2021-11-25T09:21:09","modified_gmt":"2021-11-25T08:21:09","slug":"phd-defence-by-rahul-rajendra-arailkatte","status":"publish","type":"event","link":"https:\/\/uniavisen.dk\/en\/event\/phd-defence-by-rahul-rajendra-arailkatte\/","title":{"rendered":"PhD defence by Rahul Rajendra Arailkatte"},"content":{"rendered":"

The PhD defense will be conducted as an online event via Zoom link:<\/strong> https:\/\/ucph-ku.zoom.us\/j\/62618921666?pwd=NmpaYnZOZ1pwTHluMjJNeHdRa1Ixdz09<\/a><\/p>\n

Title<\/h3>\n

Towards Better Neural Coreference Resolution<\/p>\n

Summary<\/h3>\n

This thesis describes novel methods of improving state-of-the-art neural coreference resolvers without the need for additional annotated data. The three newly introduced methods can be summarized as follows:<\/p>\n

(1) Augmenting external knowledge: knowledge bases contain enormous amounts of real-world knowledge which can be used to resolve ambiguities that arise from grounding assumptions. We introduce a reinforcement learning-based approach that improves performance by verifying model decisions against external knowledge bases and rewarding them based on their validity.<\/p>\n

(2) Remodeling of tasks: performance of some tasks can be improved if they are recast into a different form that is more suitable for learning. Since the availability of training data varies drastically across tasks, we remodel a low-resource task to take the form of a high-resource task, and use models pre-trained for the latter and finetune them to get significant improvements on the former.<\/p>\n

(3) Encouraging coherence in MTL: in standard multitask learning setups, strongly correlated tasks result in better overall performance. Taking this a step further, we build simple meaning representations from the outputs of the model to explicitly quantify the coherence between them and use this coherence value as a reward to further finetune the models.<\/p>\n

We thoroughly experiment with and analyze these methods and report performance improvements across the board.<\/p>\n

\nAssessment Committee<\/h4>\n

Chair: Assistant professor, Desmond Elliott, Department of Computer Science<\/p>\n

Senior Research Scientist, Ivan Vulic, Cambridge University, UK<\/p>\n

Research Scientist, Adina Williams, Facebook AI Research<\/p>\n

Academic supervisor<\/h4>\n

Professor, Anders S\u00f8gaard, Department of Computer Science, UCPH<\/p>\n

Moderator at this defense<\/h4>\n

Assistant professor, Daniel Hershcovich, Department of Computer Science, University of Copenhagen<\/p>\n

For an electronic copy of the thesis, please go to: https:\/\/di.ku.dk\/english\/research\/phd<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

The PhD defense will be conducted as an online event via Zoom link: https:\/\/ucph-ku.zoom.us\/j\/62618921666?pwd=NmpaYnZOZ1pwTHluMjJNeHdRa1Ixdz09 Title Towards Better Neural Coreference Resolution Summary This thesis describes novel methods of improving state-of-the-art neural coreference resolvers without the need for additional annotated data. The three newly introduced methods can be summarized as follows: (1) Augmenting external knowledge: knowledge bases […]<\/p>\n","protected":false},"author":0,"featured_media":127467,"template":"","class_list":["post-127466","event","type-event","status-publish","has-post-thumbnail","hentry","event_category-phd"],"acf":[],"yoast_head":"\nPhD defence by Rahul Rajendra Arailkatte<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/uniavisen.dk\/event\/phd-defence-by-rahul-rajendra-arailkatte\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"PhD defence by Rahul Rajendra Arailkatte\" \/>\n<meta property=\"og:description\" content=\"The PhD defense will be conducted as an online event via Zoom link: https:\/\/ucph-ku.zoom.us\/j\/62618921666?pwd=NmpaYnZOZ1pwTHluMjJNeHdRa1Ixdz09 Title Towards Better Neural Coreference Resolution Summary This thesis describes novel methods of improving state-of-the-art neural coreference resolvers without the need for additional annotated data. The three newly introduced methods can be summarized as follows: (1) Augmenting external knowledge: knowledge bases […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/uniavisen.dk\/event\/phd-defence-by-rahul-rajendra-arailkatte\/\" \/>\n<meta property=\"og:site_name\" content=\"University Post\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/uniavis\" \/>\n<meta property=\"og:image\" content=\"https:\/\/uniavisen.dk\/wp-content\/uploads\/2021\/11\/rahulphddefense1100x600.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1100\" \/>\n\t<meta property=\"og:image:height\" content=\"600\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@Uniavisen\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/uniavisen.dk\\\/event\\\/phd-defence-by-rahul-rajendra-arailkatte\\\/\",\"url\":\"https:\\\/\\\/uniavisen.dk\\\/event\\\/phd-defence-by-rahul-rajendra-arailkatte\\\/\",\"name\":\"PhD defence by Rahul Rajendra Arailkatte\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/uniavisen.dk\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/uniavisen.dk\\\/event\\\/phd-defence-by-rahul-rajendra-arailkatte\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/uniavisen.dk\\\/event\\\/phd-defence-by-rahul-rajendra-arailkatte\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/uniavisen.dk\\\/wp-content\\\/uploads\\\/2021\\\/11\\\/rahulphddefense1100x600.png\",\"datePublished\":\"2021-11-25T08:21:09+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/uniavisen.dk\\\/event\\\/phd-defence-by-rahul-rajendra-arailkatte\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/uniavisen.dk\\\/event\\\/phd-defence-by-rahul-rajendra-arailkatte\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/uniavisen.dk\\\/event\\\/phd-defence-by-rahul-rajendra-arailkatte\\\/#primaryimage\",\"url\":\"https:\\\/\\\/uniavisen.dk\\\/wp-content\\\/uploads\\\/2021\\\/11\\\/rahulphddefense1100x600.png\",\"contentUrl\":\"https:\\\/\\\/uniavisen.dk\\\/wp-content\\\/uploads\\\/2021\\\/11\\\/rahulphddefense1100x600.png\",\"width\":1100,\"height\":600},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/uniavisen.dk\\\/event\\\/phd-defence-by-rahul-rajendra-arailkatte\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/uniavisen.dk\\\/en\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Events\",\"item\":\"https:\\\/\\\/uniavisen.dk\\\/event\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"PhD defence by Rahul Rajendra Arailkatte\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/uniavisen.dk\\\/#website\",\"url\":\"https:\\\/\\\/uniavisen.dk\\\/\",\"name\":\"University Post\",\"description\":\"Independent of management\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/uniavisen.dk\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"PhD defence by Rahul Rajendra Arailkatte","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/uniavisen.dk\/event\/phd-defence-by-rahul-rajendra-arailkatte\/","og_locale":"en_US","og_type":"article","og_title":"PhD defence by Rahul Rajendra Arailkatte","og_description":"The PhD defense will be conducted as an online event via Zoom link: https:\/\/ucph-ku.zoom.us\/j\/62618921666?pwd=NmpaYnZOZ1pwTHluMjJNeHdRa1Ixdz09 Title Towards Better Neural Coreference Resolution Summary This thesis describes novel methods of improving state-of-the-art neural coreference resolvers without the need for additional annotated data. 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