|Zeit und Ort||Do, 09:15–10:45, INF 306 / SR 14 (SR)|
- Formale Semantik
- Neural Methods in NLP
Course participation, one paper presentation and leading the discussion, final project.
Knowledge graphs are a powerful and versatile representation of lexical and world knowledge. They are a very special ecosystem of entities/concepts and relations, that define each other and that can be explored and exploited jointly to help with varied NLP tasks, such as question answering, summarization, reasoning.
In this course we will explore the issues of building knowledge graphs, representing them in various ways, learning within knowledge graphs, and learning to further grow them with or without external information.
|Oct 26th||Introduction||Course admin
Introduction to KGs
(we are using the slides from the AAAI 2017 tutorial on Knowledg Graphs)
|Nov 2nd||Knowledge Graphs: the nodes, a.k.a. concepts and entities||KG: nodes
NLP for KGs
A list of papers for presentations
Information about the course project
|Nov 9nd||Knowledge Graphs: the edges, a.k.a. the relations||IE for KGs (extracting relations)|
|Nov 16th||Special lecture on building a KG from Wikipedia||A multifaceted KG from Wikipedia|
|Nov 23th||Knowledge Graph construction (I)||Probabilistic methods for growing a KG|
|Nov 30th||Knowledge Graph construction (II)||Representations of KGs in low-dimensional continuous vectors spaces (KG embeddings)|
|Dec 7th||Evaluating Knowledge Graphs and conclusions|
|Dec 14th||(student paper presentations begin)
|Jan 11th||(student paper presentations)
|Jan 18th||(student paper presentations)
|Jan 25th||(student paper presentations)
|Feb 1st||(student paper presentations)
|Feb 8th||(student paper presentations)
To be posted as the course goes along.