Knowledge Graphs
Kursbeschreibung
Studiengang  Modulkürzel  Leistungs bewertung 

BA2010[100%75%]  CSCL  6 LP 
BA2010[50%]  BSCL  6 LP 
BA2010[25%]  BSCL  4 LP 
BA2010  ASFL  8 LP 
Master  SSCL, SSFAL  8LP 
Dozenten/innen  Vivi Nastase 
Veranstaltungsart  PS/HS 
Erster Termin  26.10.2017 
Zeit und Ort  Do, 09:15–10:45, INF 306 / SR 14 (SR) 
CommitmentFrist  tbd. 
Teilnahmevoraussetzungen
 Formale Semantik
 Neural Methods in NLP
Leistungsnachweis
Course participation, one paper presentation and leading the discussion, final project.
Inhalt
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.
Kursübersicht
Seminarplan
Datum  Sitzung  Materialien 
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 lowdimensional 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)

Literatur
To be posted as the course goes along.