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For Code & Data of my Hauptseminar Project

Test of the SynSciPass Model from the SynSciPass Paper by Dominic Rosati

This project is used for all homework of Ivo and Nico in the seminar 'ML Exp'.

Noun-noun compound interpretation using vector differences

Prior work, with the aim of extracting the hidden states from LSTM joey model. Then to used on the DQN approach.

This project is used for the proseminar "Experimente gestalten fürs Maschinelle Lernen" in the winter semester 2023/24.

Further experiments on the basis of "Probing the Need for Visual Context in Multimodal Machine Translation" (Caglayan et al, 2019)

Neural multi-label Commonsense Relation Classifier as described in Becker at al. 2019

Apply Layer-Wise Relevance Propagation for investigating the image-text matching in a Two-Branch Network

Public keys for encrypted communication with the Fachschaft

Bachelor’s Thesis: Parsing NLmaps Queries Using Adversarial Neural Machine Translation

Authors: Nadia Arslan, Lyuba Dimitrova, Utaemon Toyota, Nicolas Weber; Supervisor: Prof. Dr. Anette Frank