I’m working on semantic indexing applied to Greek literature. Particularly, the aim of my task is the designing of a deep learning architecture for solving the task of genre identification. It is a multi-class problem, while the difficulties of the tasks are (1) the language, which is not modern Greek and (2) the quality of the text. Text is very noisy due to the fact that it comes from OCR applied to digital books. Research Results p.34
Question Answering in Biomedical Domain
- Created By: Dimitris Dimitriadis
- Date: 01/02/2019
- Categories: Big Projects
This work is part of the Large Scale Semantic Indexing and Question Answering project. Particularly, user poses a question and the system returns the top 10 related biomedical documents, top 10 passages that probably contain the answer and finally the most relevant answer. The system recognizes the type of the question (factoid or yes/no). Factoid QA component is a learning model on top of the Bert (language representation) while the Yes/No QA component is a learning model that incorporates sentiment information and ELMo embeddings.