Proxy Indicators for the Quality of Open-domain Dialogues Written by Rostislav Nedelchev with feedback from Prof. Ricardo Usbeck and Prof. Jens Lehmann. Our previous article briefly introduced chatbots and their automatic evaluation using language models like GPT2, BERT, and XLNet. There, we discussed the importance of open-domain dialogue systems. We…

Written by Prof. Dr. Jens Lehmann [Disclaimer: The text below represents a personal opinion based on the scientific evidence we have so far.] With the rapid progress AI research has made over the past years, the decades-old question of whether machines can achieve a form of general intelligence has regained…

In this post, we would like to present our recent contribution in knowledge graphs embedding (KGE) models which was accepted at the AAAI 2021 conference. Knowledge Graph Embeddings Knowledge Graphs [1] are used by many organisations to store and structure relevant information. In knowledge graphs, entities are represented by nodes and…

This blog post was written by several authors in the SDA Team. In 2020, the SDA team contributed to several improvements to the state-of-the-art in individual AI challenges on standard community datasets. We reported about those results in several papers and blog posts. In this post, we want to collect…

Language Model Transformers as Evaluators for Open-domain Dialogues This blog post was written by Rostislav Nedelchev. Dialogue systems, nowadays more commonly referred to as chatbots, have been around since the 1960s. One of the first well-known examples of such a system is ELIZA by Joseph Weizenbaum. The system used keyword matching and rules to mimic Simple Rogerian psychological…

This blog post was written by Isaiah Onando Mulang’. Part 1 : Encoding KG Aliases in Attentive Neural Network for Entity Linking (ARJUN) Entity Linking is a long task in NLP dating from 2006, but really picked up around 2010 with Systems such as Ferragina P. & Scaiella U. ‘s…