Machine Learning Models
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A Modular System for Rule-based Text Categorisation
AbstractWe introduce a modular rule-based approach to text categorisation which is more flexible and less time consuming to build than a standard rule-based system because it works with a hierarchical …...
Personality Profiling of Fictional Characters using Sense-Level Links between Lexical Resources
This study focuses on personality predic- tion of protagonists in novels based on the Five-Factor Model of personality. We present and publish a novel collaboratively built dataset of fictional character …...
Detecting Attackable Sentences in Arguments
AbstractFinding attackable sentences in an argument is the first step toward successful refutation in argumentation. We present a first large-scale analysis of sentence attackability in online arguments. We analyze driving …...
TAC at SemEval-2020 Task 12: Ensembling Approach for Multilingual Offensive Language Identification in Social Media
AbstractUsage of offensive language on social media is getting more common these days, and there is a need of a mechanism to detect it and control it. This paper deals …...
CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes
AbstractContinuity of care is crucial to ensuring positive health outcomes for patients discharged from an inpatient hospital setting, and improved information sharing can help. To share information, caregivers write discharge …...
WRIME: A New Dataset for Emotional Intensity Estimation with Subjective and Objective Annotations
AbstractWe annotate 17,000 SNS posts with both the writer’s subjective emotional intensity and the reader’s objective one to construct a Japanese emotion analysis dataset. In this study, we explore the …...
A Preliminary Study on Automated Speaking Assessment of English as a Second Language (ESL) Students
AbstractDue to the surge in global demand for English as a second language (ESL), developments of automated methods for grading speaking proficiency have gained considerable attention. This paper aims to …...
Animacy Denoting German Nouns: Annotation and Classification
AbstractIn this paper, we introduce a gold standard for animacy detection comprising almost 14,500 German nouns that might be used to denote either animate entities or non-animate entities. We present …...
Debiasing Isn’t Enough! – on the Effectiveness of Debiasing MLMs and Their Social Biases in Downstream Tasks
AbstractWe study the relationship between task-agnostic intrinsic and task-specific extrinsic social bias evaluation measures for MLMs, and find that there exists only a weak correlation between these two types of …...
Impact of Emojis on Automatic Analysis of Individual Emotion Categories
AbstractAutomatic emotion analysis is a highly challenging task for Natural Language Processing, which has so far mainly relied on textual contents to determine the emotion of text. However, words are …...