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09/05/2023
Bridging Emotion Role Labeling and Appraisal-based Emotion Analysis
The term emotion analysis in text subsumes various natural language proc...
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08/09/2023
Emotion-Conditioned Text Generation through Automatic Prompt Optimization
Conditional natural language generation methods often require either exp...
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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...
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06/05/2023
UNIDECOR: A Unified Deception Corpus for Cross-Corpus Deception Detection
Verbal deception has been studied in psychology, forensics, and computat...
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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...
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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...
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10/21/2022
Experiencer-Specific Emotion and Appraisal Prediction
Emotion classification in NLP assigns emotions to texts, such as sentenc...
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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....
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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...
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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...
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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...
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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...
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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...
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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 ...
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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...
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02/21/2022
Embarrassingly Simple Performance Prediction for Abductive Natural Language Inference
The task of abductive natural language inference (αnli), to decide which...
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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...
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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...
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07/27/2021
Emotion Stimulus Detection in German News Headlines
Emotion stimulus extraction is a fine-grained subtask of emotion analysi...
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07/27/2021
Emotion Recognition under Consideration of the Emotion Component Process Model
Emotion classification in text is typically performed with neural networ...
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06/14/2021
Constraining Linear-chain CRFs to Regular Languages
In structured prediction, a major challenge for models is to represent t...
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04/23/2021
Claim Detection in Biomedical Twitter Posts
Social media contains unfiltered and unique information, which is potent...
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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...
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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...
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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...
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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...
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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...
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10/06/2020
Dissecting Span Identification Tasks with Performance Prediction
Span identification (in short, span ID) tasks such as chunking, NER, or ...
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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...
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03/31/2020
Appraisal Theories for Emotion Classification in Text
Automatic emotion categorization has been predominantly formulated as te...
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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, ...
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02/28/2020
Automatic Section Recognition in Obituaries
Obituaries contain information about people's values across times and cu...
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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...
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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...
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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...
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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...
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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...
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04/05/2019
Exploring Fine-Tuned Embeddings that Model Intensifiers for Emotion Analysis
Adjective phrases like "a little bit surprised", "completely shocked", o...
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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...
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02/28/2019
Adversarial Training for Satire Detection: Controlling for Confounding Variables
The automatic detection of satire vs. regular news is relevant for downs...
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09/04/2018
IEST: WASSA-2018 Implicit Emotions Shared Task
Past shared tasks on emotions use data with both overt expressions of em...
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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 ...
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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...
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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 ...
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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 ...
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05/23/2018
Bilingual Sentiment Embeddings: Joint Projection of Sentiment Across Languages
Sentiment analysis in low-resource languages suffers from a lack of anno...
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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...
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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 ...
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07/21/2016