This session focuses on the USDA's MyPlate with tips and resources on how to eat your way to better and long-lasting health.
Join Inova EAP for this FREE Webinar on July 17th!
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Once logged in, click on 'Online Seminars' - click on 'View All' - title ‘Eating Your Way to Wellness.'
Baltimore Concert Opera seeks confident, detail-oriented, energetic applicants for the half-time position of Operations Director. The Operations Director works closely with, and reports to, the Executive Director.
General information:
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Open domain relation extraction (Angeli, Premkumar, & Manning 2015) is a process of finding relation triples. While there are a number of available systems for open information extraction (Open IE) for a single language, traditional Open IE systems are not well suited to content that contains multiple languages in a single utterance. In this thesis, we have extended a existing code mix corpus (Das, Jamatia, & Gambck 2015) by finding and annotating relation triples in Open IE fashion. Using this newly annotated corpus, we have experimented with seq2seq neural network (Zhang, Duh, & Durme 2017) for finding the relationship triples. As prerequisite for relationship extraction pipeline, we have developed part-of-speech tagger and named entity and predicate recognizer for code-mix content. We have experimented with various approaches such as Conditional Random Fields (CRF), Average Perceptron and deep neural networks. According to our knowledge, this relationship extraction system is first ever contribution for any codemix natural language. We have achieved promising results for all of the components and it could be improved in future with more codemix data.
Committee: Drs. Frank Ferraro (Chair), Tim Finin, Hamed Pirsiavash, Bryan Wilkinson
The post MS defense: Open Information Extraction for Code-Mixed Hindi-English Social Media Data appeared first on UMBC ebiquity.
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