Hello, I'm a Computer Science student living in Leipzig currently pursuing my master degree. I'm very interested to work on the chatbot idea. My first warmup task can be found here: https://github.com/dobraczka/DBpedia_chatbot_warmup For the second task I wrote a Telegram bot utilizing openQA: https://github.com/dobraczka/OpenQABot
I also have two questions regarding the DBpedia Chatbot idea: 1) The chatbot should build on existing QA systems. Do I understand it correctly, that the role of the chatbot should be on the one hand to give responses where the user is not explicitly asking a question (in which case the QA system cannot be used) and on the other hand ask the user to provide more information if the question is incomplete/ambiguous ? 2) The third warm-up task encourages the candidates to read about grammar-based chatbots. Therefore I would assume the aim is to build a closed domain chatbot (similar to e.g. ELIZA), rather than e.g. using neural networks. Is this correct? Or should the dialogue benchmark (mentioned in the project description) be used to train the bot similarly to how e.g. the Ubuntu Corpus[1] was used to train machine learning algorithms? Best Regards, Daniel Obraczka [1] R. Lowe et al., The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems, 2015 https://arxiv.org/pdf/1506.08909.pdf ------------------------------------------------------------------------------ Check out the vibrant tech community on one of the world's most engaging tech sites, SlashDot.org! http://sdm.link/slashdot _______________________________________________ Dbpedia-gsoc mailing list Dbpedia-gsoc@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/dbpedia-gsoc
