Dr. Christian M. Meyer

(Noam Chomsky)

Colorless green ideas
sleep furiously.

Wissenschaftliche Software

DKPro ist eine Sammlung von frei lizenzierten Software­projekten für natürliche Sprachverarbeitung, die am Ubiquitous Knowledge Processing (UKP) Lab entstanden ist. Ich entwickle die folgenden Projekte:

DKPro Statistics – https://dkpro.github.io/dkpro-statistics DKPro Statistics
Quelloffene Java-Bibliothek mit statistischen Verfahren und Tests.
Java Wiktionary Library (JWKTL) – https://dkpro.github.io/dkpro-jwktl Java Wiktionary Library (JWKTL)
Effizienter programmatischer Zugriff auf das Online-Wörterbuch Wiktionary.
Java OmegaWiki Library (JOWKL) – https://dkpro.github.io/dkpro-jowkl Java OmegaWiki Library (JOWKL)
Effizienter programmatischer Zugriff auf das Online-Wörterbuch OmegaWiki.
Java OpenThesaurus Library (JOTL) – https://dkpro.github.io/dkpro-jotl Java OpenThesaurus Library (JOTL)
Effizienter programmatischer Zugriff auf OpenThesaurus.

Forschungsdaten

Highlights:

UBY – https://dkpro.github.io/dkpro-uby UBY
Eine umfangreiche, standardisierte und integrierte lexikalische Ressource.

Weitere Forschungsdatenprojekte:

  • Hierarchical Summarization
    Corpus, crowdsourcing and annotation guidelines for hierarchical summarization.
  • Live Blog Corpus for Summarization
    Approach to generate a live blog summarization corpus covering data from The Guardian and BBC.
  • DBS – A summarization corpus of coherent extracts
    The DBS corpus contains 93 multi-document summaries for 293 German documents about 30 education-related topics.

Experiment-Software

  • Data-efficient Neural Text Compression
    In this project, we develop a general framework for Interactive Text Compression. We propose an interactive text compression model using active learning learning methods for data-efficient learning.
  • Diagnostic Reasoning
    Challenges in the Automatic Analysis of Students' Diagnostic Reasoning
  • Sherlock
    Interactive Summarization of Large Text Collections
  • APRIL
    Active Preference Reinforcement Learning, for extractive multi-document summarisation
  • Document-level Stance Detection
    A Retrospective Analysis of the Fake News Challenge Stance Detection Task
  • Concept-Map-Based Multi-Document Summarization
    Structured summarization method based on concept co-reference resolution and global importance optimization.
  • Interactive Multi-Document Summarization
    A general framework for interactive multi-document summarization.
  • Detection of Cross-lingual Marketing Blunders
    Method, software, and data for getting started with a new NLP task: detecting marketing blunders.
  • MDSWriter
    A software for manually creating multi-document summarization corpora and a platform for developing complex annotation tasks spanning multiple steps.
  • InViEdit
    A web-based writing environment for evaluating intelligent writing assistance methods.
Ubiquitous Knowledge Processing Lab