NLP_ThumbnailAnnotator
M.Sc. Project in Language Technology at Uni Hamburg from Florian Schneider
Project maintained by uhh-lt Hosted on GitHub Pages — Theme by mattgraham
Thumbnail Annotator
Master Project Web Interfacecs for Language Processing Systems in Language Technology department at the University of Hamburg
Basic Idea
The Idea is to get ‘context sensitive’ Thumbnails for specific words (nouns, named entities) that appear in an input text and induce a ‘sense’ by editing the priority of the shown Thumbnails. For example let’s have the sentence “My computer has a mouse and a gaming keyboard”. If a user clicks on the word “mouse”, a list of Thumbnails of animals and technical devices shows up. Now a User can increment or decrement the priority of the Thumbnails to induce the sense for the word “mouse” in this specific context. If we now input the sentence “I have a mouse and a dog.” and the User clicks n the word “mouse” again a list of Thumbnails shows up. Since now the word appears in a different context, the Thumbnails won’t have a the prioritization and the User can induce the sense of “mouse” with this context again. The goal of the project is a PoC Application including a Web Frontend as well as a REST API. The moste imporatant technologies or frameworks, used to achieve this goal, are be UIMA, DKPro, Spring(Boot), Redis, Bootstrap, Vue.js and Docker.