b'Roman Klinger'

research

∙ 09/05/2023

Bridging Emotion Role Labeling and Appraisal-based Emotion Analysis

The term emotion analysis in text subsumes various natural language proc...

0 Roman Klinger, et al. ∙

research

∙ 08/09/2023

Emotion-Conditioned Text Generation through Automatic Prompt Optimization

Conditional natural language generation methods often require either exp...

0 Yarik Menchaca Resendiz, et al. ∙

research

∙ 07/26/2023

Affective Natural Language Generation of Event Descriptions through Fine-grained Appraisal Conditions

Models for affective text generation have shown a remarkable progress, b...

0 Yarik Menchaca Resendiz, et al. ∙

research

∙ 06/05/2023

UNIDECOR: A Unified Deception Corpus for Cross-Corpus Deception Detection

Verbal deception has been studied in psychology, forensics, and computat...

4 Aswathy Velutharambath, et al. ∙

research

∙ 05/26/2023

Emotion Experiencer Recognition as a Prerequisite for Experiencer-Specific Emotion Analysis

Emotion role labeling aims at extracting who is described in text to exp...

3 Maximilian Wegge, et al. ∙

research

∙ 04/11/2023

An Entity-based Claim Extraction Pipeline for Real-world Biomedical Fact-checking

Existing fact-checking models for biomedical claims are typically traine...

10 Amelie Wührl, et al. ∙

research

∙ 10/21/2022

Experiencer-Specific Emotion and Appraisal Prediction

Emotion classification in NLP assigns emotions to texts, such as sentenc...

1 Maximilian Wegge, et al. ∙

research

∙ 09/16/2022

Entity-based Claim Representation Improves Fact-Checking of Medical Content in Tweets

False medical information on social media poses harm to people's health....

0 Amelie Wührl, et al. ∙

research

∙ 09/14/2022

Natural Language Inference Prompts for Zero-shot Emotion Classification in Text across Corpora

Within textual emotion classification, the set of relevant labels depend...

0 Flor Miriam Plaza-del-Arco, et al. ∙

research

∙ 06/10/2022

Dimensional Modeling of Emotions in Text with Appraisal Theories: Corpus Creation, Annotation Reliability, and Prediction

The most prominent tasks in emotion analysis are to assign emotions to t...

0 Enrica Troiano, et al. ∙

research

∙ 04/26/2022

CoVERT: A Corpus of Fact-checked Biomedical COVID-19 Tweets

Over the course of the COVID-19 pandemic, large volumes of biomedical in...

0 Isabelle Mohr, et al. ∙

research

∙ 04/21/2022

Recovering Patient Journeys: A Corpus of Biomedical Entities and Relations on Twitter (BEAR)

Text mining and information extraction for the medical domain has focuse...

0 Amelie Wührl, et al. ∙

research

∙ 03/21/2022

x-enVENT: A Corpus of Event Descriptions with Experiencer-specific Emotion and Appraisal Annotations

Emotion classification is often formulated as the task to categorize tex...

0 Enrica Troiano, et al. ∙

research

∙ 02/24/2022

"splink" is happy and "phrouth" is scary: Emotion Intensity Analysis for Nonsense Words

People associate affective meanings to words – "death" is scary and sad ...

0 Valentino Sabbatino, et al. ∙

research

∙ 02/21/2022

Items from Psychometric Tests as Training Data for Personality Profiling Models of Twitter Users

Machine-learned models for author profiling in social media often rely o...

0 Anne Kreuter, et al. ∙

research

∙ 02/21/2022

Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference

The task of abductive natural language inference (αnli), to decide which...

0 Emīls Kadiķis, et al. ∙

research

∙ 02/11/2022

On the Complementarity of Images and Text for the Expression of Emotions in Social Media

Authors of posts in social media communicate their emotions and what cau...

0 Anna Khlyzova, et al. ∙

research

∙ 10/29/2021

From Theories on Styles to their Transfer in Text: Bridging the Gap with a Hierarchical Survey

Humans are naturally endowed with the ability to write in a particular s...

0 Enrica Troiano, et al. ∙

research

∙ 07/27/2021

Emotion Stimulus Detection in German News Headlines

Emotion stimulus extraction is a fine-grained subtask of emotion analysi...

0 {Bao Minh} {Doan Dang}, et al. ∙

research

∙ 07/27/2021

Emotion Recognition under Consideration of the Emotion Component Process Model

Emotion classification in text is typically performed with neural networ...

0 Felix Casel, et al. ∙

research

∙ 06/14/2021

Constraining Linear-chain CRFs to Regular Languages

In structured prediction, a major challenge for models is to represent t...

0 Sean Papay, et al. ∙

research

∙ 04/23/2021

Claim Detection in Biomedical Twitter Posts

Social media contains unfiltered and unique information, which is potent...

0 Amelie Wührl, et al. ∙

research

∙ 03/02/2021

Emotion Ratings: How Intensity, Annotation Confidence and Agreements are Entangled

When humans judge the affective content of texts, they also implicitly a...

0 Enrica Troiano, et al. ∙

research

∙ 03/02/2021

Hate Towards the Political Opponent: A Twitter Corpus Study of the 2020 US Elections on the Basis of Offensive Speech and Stance Detection

The 2020 US Elections have been, more than ever before, characterized by...

0 Lara Grimminger, et al. ∙

research

∙ 02/25/2021

Emotion-Aware, Emotion-Agnostic, or Automatic: Corpus Creation Strategies to Obtain Cognitive Event Appraisal Annotations

Appraisal theories explain how the cognitive evaluation of an event lead...

0 Jan Hofmann, et al. ∙

research

∙ 11/03/2020

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

Emotion recognition is predominantly formulated as text classification i...

0 Laura Oberländer, et al. ∙

research

∙ 10/15/2020

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

Emotion stimulus detection is the task of finding the cause of an emotio...

0 Laura Oberländer, et al. ∙

research

∙ 10/06/2020

Dissecting Span Identification Tasks with Performance Prediction

Span identification (in short, span ID) tasks such as chunking, NER, or ...

0 Sean Papay, et al. ∙

research

∙ 05/15/2020

Challenges in Emotion Style Transfer: An Exploration with a Lexical Substitution Pipeline

We propose the task of emotion style transfer, which is particularly cha...

0 David Helbig, et al. ∙

research

∙ 03/31/2020

Appraisal Theories for Emotion Classification in Text

Automatic emotion categorization has been predominantly formulated as te...

0 Jan Hofmann, et al. ∙

research

∙ 03/17/2020

PO-EMO: Conceptualization, Annotation, and Modeling of Aesthetic Emotions in German and English Poetry

Most approaches to emotion analysis regarding social media, literature, ...

0 Thomas Haider, et al. ∙

research

∙ 02/28/2020

Automatic Section Recognition in Obituaries

Obituaries contain information about people's values across times and cu...

0 Valentino Sabbatino, et al. ∙

research

∙ 12/06/2019

GoodNewsEveryone: A Corpus of News Headlines Annotated with Emotions, Semantic Roles, and Reader Perception

Most research on emotion analysis from text focuses on the task of emoti...

0 Laura Bostan, et al. ∙

research

∙ 09/06/2019

Towards Multimodal Emotion Recognition in German Speech Events in Cars using Transfer Learning

The recognition of emotions by humans is a complex process which conside...

0 Deniz Cevher, et al. ∙

research

∙ 06/24/2019

Embedding Projection for Targeted Cross-Lingual Sentiment: Model Comparisons and a Real-World Study

Sentiment analysis benefits from large, hand-annotated resources in orde...

0 Jeremy Barnes, et al. ∙

research

∙ 06/06/2019

An Analysis of Emotion Communication Channels in Fan Fiction: Towards Emotional Storytelling

Centrality of emotion for the stories told by humans is underpinned by n...

0 Evgeny Kim, et al. ∙

research

∙ 05/31/2019

Crowdsourcing and Validating Event-focused Emotion Corpora for German and English

Sentiment analysis has a range of corpora available across multiple lang...

0 Enrica Troiano, et al. ∙

research

∙ 04/05/2019

Exploring Fine-Tuned Embeddings that Model Intensifiers for Emotion Analysis

Adjective phrases like "a little bit surprised", "completely shocked", o...

0 Laura Bostan, et al. ∙

research

∙ 03/29/2019

Frowning Frodo, Wincing Leia, and a Seriously Great Friendship: Learning to Classify Emotional Relationships of Fictional Characters

The development of a fictional plot is centered around characters who cl...

0 Evgeny Kim, et al. ∙

research

∙ 02/28/2019

Adversarial Training for Satire Detection: Controlling for Confounding Variables

The automatic detection of satire vs. regular news is relevant for downs...

0 Robert McHardy, et al. ∙

research

∙ 09/04/2018

IEST: WASSA-2018 Implicit Emotions Shared Task

Past shared tasks on emotions use data with both overt expressions of em...

0 Roman Klinger, et al. ∙

research

∙ 08/31/2018

An Empirical Analysis of the Role of Amplifiers, Downtoners, and Negations in Emotion Classification in Microblogs

The effect of amplifiers, downtoners, and negations has been studied in ...

0 Florian Strohm, et al. ∙

research

∙ 08/09/2018

A Survey on Sentiment and Emotion Analysis for Computational Literary Studies

Emotions have often been a crucial part of compelling narratives: litera...

0 Evgeny Kim, et al. ∙

research

∙ 06/12/2018

Projecting Embeddings for Domain Adaptation: Joint Modeling of Sentiment Analysis in Diverse Domains

Domain adaptation for sentiment analysis is challenging due to the fact ...

0 Jeremy Barnes, et al. ∙

research

∙ 06/12/2018

Projecting Embeddings for Domain Adaption: Joint Modeling of Sentiment Analysis in Diverse Domains

Domain adaptation for sentiment analysis is challenging due to the fact ...

0 Jeremy Barnes, et al. ∙

research

∙ 05/23/2018

Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages

Sentiment analysis in low-resource languages suffers from a lack of anno...

0 Jeremy Barnes, et al. ∙

research

∙ 09/26/2017

Predicting Disease-Gene Associations using Cross-Document Graph-based Features

In the context of personalized medicine, text mining methods pose an int...

0 Hendrik ter Horst, et al. ∙

research

∙ 09/13/2017

Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets

There has been a good amount of progress in sentiment analysis over the ...

0 Jeremy Barnes, et al. ∙

research

∙ 07/21/2016

Opinion Mining in Online Reviews About Distance Education Programs

The popularity of distance education programs is increasing at a fast pa...

0 Janik Jaskolski, et al. ∙

Roman Klinger

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