Papers by Ralf Krestel

3 papers
DDxGym: Online Transformer Policies in a Knowledge Graph Based Natural Language Environment (2024.lrec-main)

Copied to clipboard

Challenge: specialized OpenAI Gym environment for clinical differential diagnosis is limited by data access due to privacy concerns.
Approach: They propose a specialized OpenAI Gym environment for clinical differential diagnosis . they frame the task as a natural-language-based reinforcement learning problem .
Outcome: The proposed model improves over baselines and improves on existing models.
Multifaceted Domain-Specific Document Embeddings (2021.naacl-demos)

Copied to clipboard

Challenge: Current document embeddings require large training corpora but fail to learn high-quality representations when confronted with a small number of domain-specific documents and rare terms.
Approach: They propose a faceted domain encoder that transforms each document into a single embedding vector . they use a Siamese neural network architecture to leverage knowledge graphs to enhance the embeddables .
Outcome: The proposed model achieves the same embedding quality as state-of-the-art models while requiring only a tiny fraction of training data.
Prediction for the Newsroom: Which Articles Will Get the Most Comments? (N18-3)

Copied to clipboard

Challenge: a new method to support manual moderation of discussion sections is proposed.
Approach: They propose to support manual moderation by proactively drawing attention of moderators to articles that most likely need their intervention.
Outcome: The proposed method outperforms the current state-of-the-art methods on a 7-million-comment dataset.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations