Computer Science Atlas Talk
|Starts:||14:00 11 Nov 2020|
|Ends:||15:00 11 Nov 2020|
|What is it:||Seminar|
|Organiser:||Department of Computer Science|
|Who is it for:||University staff, Adults, Current University students|
|Speaker:||Prof. Dr. habil. Ansgar Scherp|
Join us for the next Computer Science Atlas Talk (online) on Wednesday 11 November 2020 at 2pm
Joining details: https://zoom.us/j/99048303656
Ansgar Scherp, Ulm University / Essex University, Data Science
(Host: Markel Virgo)
Title: Extreme Analyses of Texts and Graphs
The talk presents an overview of our research on extreme analyses of texts and graphs. For graph analysis, I will briefly present a recent CIKM 2020 paper showing an efficient parallel and incremental algorithm for structural graph summaries. Incremental graph summarization is important to reflect changes in large-scale graphs such as on the web. For extreme text analysis, I present the task of eXtreme multi-label classification on very large document corpora and recommender systems for scientific publications based on extremely sparse input data. We look in more detail into an ICLR 2019 paper, where I introduce CMOW (Continual Multiplication of Words), an efficient training scheme for sentence embeddings. CMOW complements Google‘s successful CBOW (Continuous Bag of Words) model for word embeddings and captures the linguistic properties of texts better than CBOW. A hybrid CBOW-CMOW model combines the strengths of both and improves capturing linguistic properties by 8%.
The presentation is designed for both newcomers interested in the field as well as researchers involved in representation learning on graphs and text.
Prof. Dr. habil. Ansgar Scherp is Full Professor for Data Science and Big Data Analytics with Ulm University. Prior, he worked among others as Full Professor at the University of Essex, UK, where he led the Natural Language and Information Processing group, and was Professor of Knowledge Discovery at Kiel University, Germany. In Kiel, he led several research projects including the scientific lead of the EU Horizon 2020 project MOVING. He was Juniorprofessor and research associate at the University of Koblenz and University of Mannheim, Germany. In Coblence, he was affiliated with the Web Science and Technologies (WeST) institute, and led several work packages in EU FP7 projects. His main research interests are on text and graph analysis. He won the Billion Triples Challenge, which is on large-scale graph analysis, in 2008 and 2011 and was speaker at the ACM SIGMM Rising Stars Symposium in 2016. He is also Marie Sk?odowska-Curie Fellow of the EU. He published over 150 peer reviewed conference papers and journal articles and acquired as PI and Co-PI in the last 5 years over 2.5 Million € of third-party funding.
Prof. Dr. habil. Ansgar Scherp
Role: Full Professor for Data Science and Big Data Analytics
Organisation: Ulm University
Travel and Contact Information