Roman Klinger

Orcid: 0000-0002-2014-6619

Affiliations:
  • University of Stuttgart, Institute for Natural Language Processing, Germany


According to our database1, Roman Klinger authored at least 116 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Which Demographics do LLMs Default to During Annotation?
CoRR, 2024

Prompt-based Personality Profiling: Reinforcement Learning for Relevance Filtering.
CoRR, 2024

English Prompts are Better for NLI-based Zero-Shot Emotion Classification than Target-Language Prompts.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Hierarchical Adversarial Correction to Mitigate Identity Term Bias in Toxicity Detection.
Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, 2024

Entity-Level Sentiment: More than the Sum of Its Parts.
Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, 2024

"You are an expert annotator": Automatic Best-Worst-Scaling Annotations for Emotion Intensity Modeling.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

How Entangled is Factuality and Deception in German?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Dealing with Controversy: An Emotion and Coping Strategy Corpus Based on Role Playing.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

What Makes Medical Claims (Un)Verifiable? Analyzing Entity and Relation Properties for Fact Verification.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

EmoProgress: Cumulated Emotion Progression Analysis in Dreams and Customer Service Dialogues.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Can Factual Statements Be Deceptive? The DeFaBel Corpus of Belief-based Deception.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Understanding Fine-grained Distortions in Reports of Scientific Findings.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
From theories on styles to their transfer in text: Bridging the gap with a hierarchical survey.
Nat. Lang. Eng., July, 2023

Dimensional Modeling of Emotions in Text with Appraisal Theories: Corpus Creation, Annotation Reliability, and Prediction.
Comput. Linguistics, March, 2023

Topic Bias in Emotion Classification.
CoRR, 2023

Where are We in Event-centric Emotion Analysis? Bridging Emotion Role Labeling and Appraisal-based Approaches.
CoRR, 2023

Emotion-Conditioned Text Generation through Automatic Prompt Optimization.
CoRR, 2023

Automatic Emotion Experiencer Recognition.
CoRR, 2023

An Entity-based Claim Extraction Pipeline for Real-world Biomedical Fact-checking.
CoRR, 2023

UNIDECOR: A Unified Deception Corpus for Cross-Corpus Deception Detection.
Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

Affective Natural Language Generation of Event Descriptions through Fine-grained Appraisal Conditions.
Proceedings of the 16th International Natural Language Generation Conference, 2023

2022
Experiencer-Specific Emotion and Appraisal Prediction.
CoRR, 2022

"splink" is happy and "phrouth" is scary: Emotion Intensity Analysis for Nonsense Words.
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

Items from Psychometric Tests as Training Data for Personality Profiling Models of Twitter Users.
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

On the Complementarity of Images and Text for the Expression of Emotions in Social Media.
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Recovering Patient Journeys: A Corpus of Biomedical Entities and Relations on Twitter (BEAR).
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

x-enVENT: A Corpus of Event Descriptions with Experiencer-specific Emotion and Appraisal Annotations.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

CoVERT: A Corpus of Fact-checked Biomedical COVID-19 Tweets.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Constraining Linear-chain CRFs to Regular Languages.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Natural Language Inference Prompts for Zero-shot Emotion Classification in Text across Corpora.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Entity-based Claim Representation Improves Fact-Checking of Medical Content in Tweets.
Proceedings of the 9th Workshop on Argument Mining, 2022

2021
Emotion Stimulus Detection in German News Headlines.
CoRR, 2021

Emotion Recognition under Consideration of the Emotion Component Process Model.
CoRR, 2021

Emotion Ratings: How Intensity, Annotation Confidence and Agreements are Entangled.
Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, 2021

Emotion-Aware, Emotion-Agnostic, or Automatic: Corpus Creation Strategies to Obtain Cognitive Event Appraisal Annotations.
Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, 2021

Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance Detection.
Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, 2021

Multi-Task Learning with Sentiment Emotion and Target Detection to Recognize Hate Speech and Offensive Language.
Proceedings of the Working Notes of FIRE 2021, 2021

Claim Detection in Biomedical Twitter Posts.
Proceedings of the 20th Workshop on Biomedical Language Processing, 2021

2020
Strukturierte Modellierung von Affekt in Text.
, 2020

Learning soft domain constraints in a factor graph model for template-based information extraction.
Data Knowl. Eng., 2020

Experiencers, Stimuli, or Targets: Which Semantic Roles Enable Machine Learning to Infer the Emotions?
CoRR, 2020

Token Sequence Labeling vs. Clause Classification for English Emotion Stimulus Detection.
CoRR, 2020

Token Sequence Labeling vs. Clause Classification for English Emotion Stimulus Detection.
Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, 2020

Automatic Section Recognition in Obituaries.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Dissecting Span Identification Tasks with Performance Prediction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Lost in Back-Translation: Emotion Preservation in Neural Machine Translation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Appraisal Theories for Emotion Classification in Text.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline.
Proceedings of the Eighth International Workshop on Natural Language Processing for Social Media, 2020

2019
Embedding Projection for Targeted Cross-lingual Sentiment: Model Comparisons and a Real-World Study.
J. Artif. Intell. Res., 2019

An Analysis of Emotion Communication Channels in Fan Fiction: Towards Emotional Storytelling.
CoRR, 2019

Exploring Fine-Tuned Embeddings that Model Intensifiers for Emotion Analysis.
Proceedings of the Tenth Workshop on Computational Approaches to Subjectivity, 2019

Adversarial Training for Satire Detection: Controlling for Confounding Variables.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Towards Multimodal Emotion Recognition in German Speech Events in Cars using Transfer Learning.
Proceedings of the 15th Conference on Natural Language Processing, 2019

Crowdsourcing and Validating Event-focused Emotion Corpora for German and English.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
What you use, not what you do: Automatic classification and similarity detection of recipes.
Data Knowl. Eng., 2018

A Survey on Sentiment and Emotion Analysis for Computational Literary Studies.
CoRR, 2018

Projecting Embeddings for Domain Adaptation: Joint Modeling of Sentiment Analysis in Diverse Domains.
CoRR, 2018

IEST: WASSA-2018 Implicit Emotions Shared Task.
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018

On the Semantic Similarity of Disease Mentions in MEDLINE and Twitter.
Proceedings of the Natural Language Processing and Information Systems, 2018

Assessing the Impact of Single and Pairwise Slot Constraints in a Factor Graph Model for Template-Based Information Extraction.
Proceedings of the Natural Language Processing and Information Systems, 2018

DERE: A Task and Domain-Independent Slot Filling Framework for Declarative Relation Extraction.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

An Empirical Analysis of the Role of Amplifiers, Downtoners, and Negations in Emotion Classification in Microblogs.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Digitale Modellierung von Figurenkomplexität am Beispiel des Parzival von Wolfram von Eschenbach.
Proceedings of the 5. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2018

A Reporting Tool for Relational Visualization and Analysis of Character Mentions in Literature.
Proceedings of the 5. Tagung des Verbands Digital Humanities im deutschsprachigen Raum, 2018

Who Feels What and Why? Annotation of a Literature Corpus with Semantic Roles of Emotions.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

An Analysis of Annotated Corpora for Emotion Classification in Text.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

Projecting Embeddings for Domain Adaption: Joint Modeling of Sentiment Analysis in Diverse Domains.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Predicting Disease-Gene Associations using Cross-Document Graph-based Features.
CoRR, 2017

Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus.
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

IMS at EmoInt-2017: Emotion Intensity Prediction with Affective Norms, Automatically Extended Resources and Deep Learning.
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

Ranking Right-Wing Extremist Social Media Profiles by Similarity to Democratic and Extremist Groups.
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets.
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

Towards Confidence Estimation for Typed Protein-Protein Relation Extraction.
Proceedings of the Biomedical NLP Workshop associated with RANLP 2017, Varna, 2017

Fine-Grained Opinion Mining from Mobile App Reviews with Word Embedding Features.
Proceedings of the Natural Language Processing and Information Systems, 2017

Does Optical Character Recognition and Caption Generation Improve Emotion Detection in Microblog Posts?
Proceedings of the Natural Language Processing and Information Systems, 2017

What You Use, Not What You Do: Automatic Classification of Recipes.
Proceedings of the Natural Language Processing and Information Systems, 2017

Identifying Right-Wing Extremism in German Twitter Profiles: A Classification Approach.
Proceedings of the Natural Language Processing and Information Systems, 2017

Investigating the Relationship between Literary Genres and Emotional Plot Development.
Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, 2017

SCIO: An Ontology to Support the Formalization of Pre-Clinical Spinal Cord Injury Experiments.
Proceedings of the Joint Ontology Workshops 2017 Episode 3: The Tyrolean Autumn of Ontology, 2017

Teaching Computational Aspects in the Digital Humanities Program at University of Stuttgart - Intentions and Experiences.
Proceedings of the Workshop on Teaching NLP for Digital Humanities (Teach4DH) 2017, 2017

Prototypical Emotion Developments in Adventures, Romances, and Mystery Stories.
Proceedings of the 12th Annual International Conference of the Alliance of Digital Humanities Organizations, 2017

2016
Opinion Mining in Online Reviews About Distance Education Programs.
CoRR, 2016

SCARE ― The Sentiment Corpus of App Reviews with Fine-grained Annotations in German.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

An Empirical, Quantitative Analysis of the Differences Between Sarcasm and Irony.
Proceedings of the Semantic Web - ESWC 2016 Satellite Events, Heraklion, Crete, Greece, May 29, 2016

Automatic Emotion Detection for Quantitative Literary Studies.
Proceedings of the 11th Annual International Conference of the Alliance of Digital Humanities Organizations, 2016

Model Architectures for Quotation Detection.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Towards Opinion Mining from Reviews for the Prediction of Product Rankings.
Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, 2015

Instance Selection Improves Cross-Lingual Model Training for Fine-Grained Sentiment Analysis.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

2014
Detecting miRNA Mentions and Relations in Biomedical Literature.
F1000Research, 2014

An Impact Analysis of Features in a Classification Approach to Irony Detection in Product Reviews.
Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, 2014

The USAGE review corpus for fine grained multi lingual opinion analysis.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Towards Gene Recognition from Rare and Ambiguous Abbreviations using a Filtering Approach.
Proceedings of BioNLP, Baltimore, Maryland, USA, 2014

Ontology-based Extraction of Structured Information from Publications on Preclinical Experiments for Spinal Cord Injury Treatments.
Proceedings of the Third Workshop on Semantic Web and Information Extraction, 2014

2013
Committee-based Selection of Weakly Labeled Instances for Learning Relation Extraction.
Res. Comput. Sci., 2013

Joint and Pipeline Probabilistic Models for Fine-Grained Sentiment Analysis: Extracting Aspects, Subjective Phrases and their Relations.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Orthonormal Explicit Topic Analysis for Cross-Lingual Document Matching.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Bi-directional Inter-dependencies of Subjective Expressions and Targets and their Value for a Joint Model.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
E-Government and Policy Simulation in Intelligent Virtual Environments.
Proceedings of the WEBIST 2012 - Proceedings of the 8th International Conference on Web Information Systems and Technologies, Porto, Portugal, 18, 2012

Online Communities Support Policy-Making: The Need for Data Analysis.
Proceedings of the Electronic Participation - 4th IFIP WG 8.5 International Conference, 2012

2011
Conditional random fields for named entity recognition: feature selection and optimization in biology and chemistry.
PhD thesis, 2011

Challenges in the association of human single nucleotide polymorphism mentions with unique database identifiers.
BMC Bioinform., 2011

Automatically Selected Skip Edges in Conditional Random Fields for Named Entity Recognition.
Proceedings of the Recent Advances in Natural Language Processing, 2011

2010
Prior Art Search in Chemistry Patents Based On Semantic Concepts and Co-Citation Analysis.
Proceedings of The Nineteenth Text REtrieval Conference, 2010

Abstracts versus Full Texts and Patents: A Quantitative Analysis of Biomedical Entities.
Proceedings of the Advances in Multidisciplinary Retrieval, 2010

2009
Identification of histone modifications in biomedical text for supporting epigenomic research.
BMC Bioinform., 2009

Patent Retrieval in Chemistry Based on Semantically Tagged Named Entities.
Proceedings of The Eighteenth Text REtrieval Conference, 2009

User's Choice of Precision and Recall in Named Entity Recognition.
Proceedings of the Recent Advances in Natural Language Processing, 2009

Feature Subset Selection in Conditional Random Fields for Named Entity Recognition.
Proceedings of the Recent Advances in Natural Language Processing, 2009

2008
Detection of IUPAC and IUPAC-like chemical names.
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008

2007
Identifying gene-Specific Variations in Biomedical Text.
J. Bioinform. Comput. Biol., 2007


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