27 citations · 81 across the 33 of their papers we have counts for
6 papers · 2 filters
BoschAI @ Causal News Corpus 2023: Robust Cause-Effect Span Extraction using Multi-Layer Sequence Tagging and Data Augmentation
Timo Pierre Schrader, Simon Razniewski, Lukas Lange +1
Understanding causality is a core aspect of intelligence. The Event Causality Identification with Causal News Corpus Shared Task addresses two aspects of this challenge: Subtask 1…
BoschAI @ PLABA 2023: Leveraging Edit Operations in End-to-End Neural Sentence Simplification
Valentin Knappich, Simon Razniewski, Annemarie Friedrich
Automatic simplification can help laypeople to comprehend complex scientific text. Language models are frequently applied to this task by translating from complex to simple languag…
Evaluating the Knowledge Base Completion Potential of GPT
Blerta Veseli, Simon Razniewski, Jan-Christoph Kalo +1
Structured knowledge bases (KBs) are an asset for search engines and other applications, but are inevitably incomplete. Language models (LMs) have been proposed for unsupervised kn…
Extracting Multi-valued Relations from Language Models
Sneha Singhania, Simon Razniewski, Gerhard Weikum
The widespread usage of latent language representations via pre-trained language models (LMs) suggests that they are a promising source of structured knowledge. However, existing m…
Can large language models generate salient negative statements?
Hiba Arnaout, Simon Razniewski
We examine the ability of large language models (LLMs) to generate salient (interesting) negative statements about real-world entities; an emerging research topic of the last few y…
Evaluating Language Models for Knowledge Base Completion
Blerta Veseli, Sneha Singhania, Simon Razniewski +1
Structured knowledge bases (KBs) are a foundation of many intelligent applications, yet are notoriously incomplete. Language models (LMs) have recently been proposed for unsupervis…