1 citations · 1 across the 3 of their papers we have counts for
3 papers
A Scalable Cross-Domain Event Extraction System via a Unified Generative Training Framework
Siting Liang, Omar Adjali, Omair Shahzad Bhatti +1
Event extraction is fundamental to information extraction. Prior approaches often separate event detection and argument extraction or depend on dataset-specific designs, limiting s…
A Multi-Domain and Multi-Task Generative Framework with Explicit Task and Domain Conditioning for Cross-Domain Event Extraction
Siting Liang, Omar Adjali, Daniel Sonntag
Event extraction aims to identify event triggers, classify event types, and extract arguments to construct structured event representations. Despite strong in-domain performance, d…
Cross-lingual German Biomedical Information Extraction: from Zero-shot to Human-in-the-Loop
Siting Liang, Mareike Hartmann, Daniel Sonntag
This paper presents our project proposal for extracting biomedical information from German clinical narratives with limited amounts of annotations. We first describe the applied st…