Siting Liang

6 papers · 2021–2025 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze

Venues

NAACL (3) ACL (2) EACL (1)

Top co-authors

Daniel Sonntag (4) Klaus Maier-Hein (1) Tim Weber (1) Jens Kleesiek (1) Anette Frank (1) Klaus Kades (1) Mareike Hartmann (1) Michael Strube (1) Matthias Fink (1) Peter Full (1)

Research topics

Natural Language Processing (5) Artificial Intelligence (4) Healthcare & Medicine (3) Machine Learning (3) Clinical (3) Core AI (3) Understanding (3) Application Areas (2) Applications (2) Learning Paradigms (2) Learning Types (2) Resources & Methods (2)

Keywords

language model (2) few-shot learning (2) transfer learning (1) domain adaptation (1) knowledge extraction (1) knowledge transfer (1) natural language inference (1) clinical named entity recognition (1) relation extraction (1) named entity recognition (1) text generation (1) german language (1) low-resource learning (1) medical text (1) annotation cost (1) pre-trained language model (1) commonsense reasoning (1) cross-domain transfer (1) structured prompting (1) radiology report summarization (1)

Papers

Advancing Biomedical Claim Verification by Using Large Language Models with Better Structured Prompting Strategies ACL 2025 Building A German Clinical Named Entity Recognition System without In-domain Training Data NAACL 2024 Optimizing Relation Extraction in Medical Texts through Active Learning: A Comparative Analysis of Trade-offs EACL 2024 Cross-domain German Medical Named Entity Recognition using a Pre-Trained Language Model and Unified Medical Semantic Types ACL 2023 Fine-tuning BERT Models for Summarizing German Radiology Findings NAACL 2022 Reconstructing Implicit Knowledge with Language Models NAACL 2021