{"id":109,"date":"2020-02-21T18:20:55","date_gmt":"2020-02-21T18:20:55","guid":{"rendered":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamb0\/?p=109"},"modified":"2020-02-21T18:20:55","modified_gmt":"2020-02-21T18:20:55","slug":"ashikas-status-update-for-feb-22","status":"publish","type":"post","link":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamb0\/2020\/02\/21\/ashikas-status-update-for-feb-22\/","title":{"rendered":"Ashika’s Status Update for Feb 22"},"content":{"rendered":"

This week, I started writing the code for story creation. I wrote two python programs: the first checks that the part of speech of a word matches the expected part of speech given a sentence for context. This will be used for error detection on the user side. The second algorithm takes in a story and a templated story and tags each blank with the corresponding part of speech and where the input is coming from (user or FitBERT). To do so, I also had to design a system for encoding the templates when choosing which words to remove:<\/p>\n

    \n
  1. Each input mask starts with either **USER or **FB (for FitBERT)<\/li>\n
  2. A suffix of “-R” indicates that the word is not dependent or related to any other words in the paragraph<\/li>\n
  3. A suffix of “-<number>” indicates that the word is a synonym of any other word with this suffix. This helps FitBERT choose similar words.<\/li>\n
  4. A suffix of “-<number>A” indicates that the user’s word is an antonym of any of FitBERT’s inputs with the same suffix.<\/li>\n<\/ol>\n

    Besides the code, I worked on the design presentation and the design report. I did more research into the metrics and testing methods we will be using, particularly for story cohesion. I am almost done with my part of the design report, so I will have a lot of time next week to work on synonym generation for FitBERT inputs. I also hope to work on template making as I go, so I can start testing these components. As of now, I am right on schedule.<\/p>\n

     <\/p>\n","protected":false},"excerpt":{"rendered":"

    This week, I started writing the code for story creation. I wrote two python programs: the first checks that the part of speech of a word matches the expected part of speech given a sentence for context. This will be used for error detection on …<\/a><\/p>\n","protected":false},"author":249,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[3,2],"tags":[],"_links":{"self":[{"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamb0\/wp-json\/wp\/v2\/posts\/109"}],"collection":[{"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamb0\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamb0\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamb0\/wp-json\/wp\/v2\/users\/249"}],"replies":[{"embeddable":true,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamb0\/wp-json\/wp\/v2\/comments?post=109"}],"version-history":[{"count":1,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamb0\/wp-json\/wp\/v2\/posts\/109\/revisions"}],"predecessor-version":[{"id":111,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamb0\/wp-json\/wp\/v2\/posts\/109\/revisions\/111"}],"wp:attachment":[{"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamb0\/wp-json\/wp\/v2\/media?parent=109"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamb0\/wp-json\/wp\/v2\/categories?post=109"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/course.ece.cmu.edu\/~ece500\/projects\/s20-teamb0\/wp-json\/wp\/v2\/tags?post=109"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}