Roman Klinger
21 publications
7 venues
H Index 14
Affiliation
University of Stuttgart, Institute for Natural Language Processing, GermanyLinks
| Name | Venue | Year | citations |
|---|---|---|---|
Donate or Create? Comparing Data Collection Strategies for Emotion-labeled Multimodal Social Media Posts.
|
ACL | 2025 | 0 |
| iPrOp: Interactive Prompt Optimization for Large Language Models with a Human in the Loop.
|
ACL | 2025 | 1 |
| Which Demographics do LLMs Default to During Annotation?
|
ACL | 2025 | 0 |
| MOPO: Multi-Objective Prompt Optimization for Affective Text Generation.
|
COLING | 2025 | 0 |
| What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification.
|
EACL | 2024 | 12 |
| Natural Language Inference Prompts for Zero-shot Emotion Classification in Text across Corpora.
|
COLING | 2022 | 31 |
| Constraining Linear-chain CRFs to Regular Languages.
|
ICLR | 2022 | 0 |
| Dissecting Span Identification Tasks with Performance Prediction.
|
EMNLP | 2020 | 20 |
| Appraisal Theories for Emotion Classification in Text.
|
COLING | 2020 | 53 |
| Lost in Back-Translation: Emotion Preservation in Neural Machine Translation.
|
COLING | 2020 | 32 |
| Embedding Projection for Targeted Cross-lingual Sentiment: Model Comparisons and a Real-World Study.
|
JAIR | 2019 | 15 |
| Crowdsourcing and Validating Event-focused Emotion Corpora for German and English.
|
ACL | 2019 | 46 |
| SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling.
|
ACL | 2018 | 6 |
| An Analysis of Annotated Corpora for Emotion Classification in Text.
|
COLING | 2018 | 211 |
| Who Feels What and Why? Annotation of a Literature Corpus with Semantic Roles of Emotions.
|
COLING | 2018 | 98 |
| Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages.
|
ACL | 2018 | 73 |
| Projecting Embeddings for Domain Adaption: Joint Modeling of Sentiment Analysis in Diverse Domains.
|
COLING | 2018 | 32 |
| Model Architectures for Quotation Detection.
|
ACL | 2016 | 30 |
| Instance Selection Improves Cross-Lingual Model Training for Fine-Grained Sentiment Analysis.
|
CoNLL | 2015 | 27 |
| Bi-directional Inter-dependencies of Subjective Expressions and Targets and their Value for a Joint Model.
|
ACL | 2013 | 38 |
| Orthonormal Explicit Topic Analysis for Cross-Lingual Document Matching.
|
EMNLP | 2013 | 17 |