[HTML][HTML] ChatGPT: Jack of all trades, master of none
OpenAI has released the Chat Generative Pre-trained Transformer (ChatGPT) and
revolutionized the approach in artificial intelligence to human-model interaction. The first …
revolutionized the approach in artificial intelligence to human-model interaction. The first …
Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback
Large language models (LLMs) are used to generate content for a wide range of tasks, and
are set to reach a growing audience in coming years due to integration in product interfaces …
are set to reach a growing audience in coming years due to integration in product interfaces …
[HTML][HTML] Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach
Abstract Analysis of subjective texts like offensive content or hate speech is a great
challenge, especially regarding annotation process. Most of current annotation procedures …
challenge, especially regarding annotation process. Most of current annotation procedures …
[HTML][HTML] Human-centered neural reasoning for subjective content processing: Hate speech, emotions, and humor
Some tasks in content processing, eg, natural language processing (NLP), like hate or
offensive speech and emotional or funny text detection, are subjective by nature. Each …
offensive speech and emotional or funny text detection, are subjective by nature. Each …
Learning personal human biases and representations for subjective tasks in natural language processing
Many tasks in natural language processing like offensive, toxic, or emotional text
classification are subjective by nature. Humans tend to perceive textual content in their own …
classification are subjective by nature. Humans tend to perceive textual content in their own …
Perspectivist approaches to natural language processing: a survey
Abstract In Artificial Intelligence research, perspectivism is an approach to machine learning
that aims at leveraging data annotated by different individuals in order to model varied …
that aims at leveraging data annotated by different individuals in order to model varied …
Personal bias in prediction of emotions elicited by textual opinions
Abstract Analysis of emotions elicited by opinions, comments, or articles commonly exploits
annotated corpora, in which the labels assigned to documents average the views of all …
annotated corpora, in which the labels assigned to documents average the views of all …
Multitask personalized recognition of emotions evoked by textual content
In this paper, we present the studies on personalized emotion recognition in text perception
in the multitask setting. We analyze the performance of the joint learning of the model within …
in the multitask setting. We analyze the performance of the joint learning of the model within …
Studemo: A non-aggregated review dataset for personalized emotion recognition
Humans' emotional perception is subjective by nature, in which each individual could
express different emotions regarding the same textual content. Existing datasets for emotion …
express different emotions regarding the same textual content. Existing datasets for emotion …
Deep-sheep: Sense of humor extraction from embeddings in the personalized context
As humans, we experience a wide range of feelings and reactions. One of these is laughter,
often related to a personal sense of humor and the perception of funny content. Due to its …
often related to a personal sense of humor and the perception of funny content. Due to its …