Colorless green ideas
DKPro is a collection of open-licensed software projects for natural language processing, which has been initiated by the Ubiquitous Knowledge Processing (UKP) Lab. I am coordinating the following projects:
A large-scale, standardized, and integrated lexical resource.
Further data projects:
- 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.
- 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
Interactive Summarization of Large Text Collections
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.
A software for manually creating multi-document summarization corpora and a platform for developing complex annotation tasks spanning multiple steps.
A web-based writing environment for evaluating intelligent writing assistance methods.