Events at The University of Manchester
  • University home
  • Events
  • Home
  • Exhibitions
  • Conferences
  • Lectures and seminars
  • Performances
  • Events for prospective students
  • Sustainability events
  • Family events
  • All Events

Computer Science Atlas Talk

Dates:11 November 2020
Times:14:00 - 15:00
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
See travel and contact information
Add to your calendar

More information

  • Department of Computer Science

Other events

  • In category "Seminar"
  • In group "(CS) Computer Science seminar series"
  • By Department of Computer Science

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 https://scholar.google.com/citations?user=LFTRuMEAAAAJ&hl=en

(Host: Markel Virgo)

Title: Extreme Analyses of Texts and Graphs

Abstract:

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.

Bio: 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.

Speaker

Prof. Dr. habil. Ansgar Scherp

Role: Full Professor for Data Science and Big Data Analytics

Organisation: Ulm University

Travel and Contact Information

Find event

Contact event

ACSO

compsci-acso@manchester.ac.uk

Contact us

  • +44 (0) 161 306 6000

Find us

The University of Manchester
Oxford Rd
Manchester
M13 9PL
UK

Connect with the University

  • Facebook page for The University of Manchester
  • X (formerly Twitter) page for The University of Manchester
  • YouTube page for The University of Manchester
  • Instagram page for The University of Manchester
  • TikTok page for The University of Manchester
  • LinkedIn page for The University of Manchester

  • Privacy /
  • Copyright notice /
  • Accessibility /
  • Freedom of information /
  • Charitable status /
  • Royal Charter Number: RC000797
  • Close menu
  • Home
    • Featured events
    • Today's events
    • The Whitworth events
    • Manchester Museum events
    • Jodrell Bank Discovery Centre events
    • Martin Harris Centre events
    • The John Rylands Library events
    • Exhibitions
    • Conferences
    • Lectures and seminars
    • Performances
    • Events for prospective students
    • Sustainability events
    • Family events
    • All events