Claudia Schulz
12 papers · 2017–2020 · 8 venues · across top CS/AI venues
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Achievements
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Research topics
Machine Learning
(9)
Artificial Intelligence
(6)
Natural Language Processing
(6)
Applications
(5)
Deep Learning
(4)
Core AI
(4)
Core Methods
(4)
Application Areas
(3)
Learning Paradigms
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Healthcare & Medicine
(2)
Interdisciplinary
(2)
Architectures
(2)
Clinical
(2)
Computer Science
(1)
Keywords
diagnostic reasoning
(2)
document retrieval
(2)
natural language processing
(1)
argument mining
(1)
stance detection
(1)
claim verification
(1)
text representation
(1)
entity linking
(1)
adversarial training
(1)
text classification
(1)
healthcare natural language processing
(1)
medical embeddings
(1)
semantic task
(1)
interactive learning
(1)
semantic similarity
(1)
recurrent neural network
(1)
feature engineering
(1)
electronic health record
(1)
textual entailment
(1)
multi-task learning
(1)
Papers
Biomedical Concept Relatedness β A large EHR-based benchmark
COLING 2020
Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!
AAAI 2020
Analysis of Automatic Annotation Suggestions for Hard Discourse-Level Tasks in Expert Domains
ACL 2019
A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking
CoNLL 2019
Challenges in the Automatic Analysis of Studentsβ Diagnostic Reasoning
AAAI 2019
FAMULUS: Interactive Annotation and Feedback Generation for Teaching Diagnostic Reasoning
EMNLP 2019
On the Responsibility for Undecisiveness in Preferred and Stable Labellings in Abstract Argumentation (Extended Abstract)
IJCAI 2019
Text Processing Like Humans Do: Visually Attacking and Shielding NLP Systems
NAACL 2019
Multi-Task Learning for Argumentation Mining in Low-Resource Settings
NAACL 2018
On the Equivalence between Assumption-Based Argumentation and Logic Programming (Extended Abstract)
IJCAI 2018
UKP-Athene: Multi-Sentence Textual Entailment for Claim Verification
EMNLP 2018
Assessing Convincingness of Arguments in Online Debates with Limited Number of Features
EACL 2017