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Found 16 papers, 2 papers with code
Analyzing the Effects of Annotator Gender across NLP Tasks
Recent studies have shown that for subjective annotation tasks, the demographics, lived experiences, and identity of annotators can have a large impact on how items are labeled.
SemEval-2022 Task 6: iSarcasmEval, Intended Sarcasm Detection in English and Arabic
Most of the participating teams utilised pre-trained language models.
Narrative Detection and Feature Analysis in Online Health Communities
Narratives have been shown to be an effective way to communicate health risks and promote health behavior change, and given the growing amount of health information being shared on social media, it is crucial to study health-related narratives in social media.
Should a Chatbot be Sarcastic? Understanding User Preferences Towards Sarcasm Generation
Previous sarcasm generation research has focused on how to generate text that people perceive as sarcastic to create more human-like interactions.
Emoji and Self-Identity in Twitter Bios
Emoji are widely used to express emotions and concepts on social media, and prior work has shown that users’ choice of emoji reflects the way that they wish to present themselves to the world.
Diachronic Embeddings for People in the News
Previous English-language diachronic change models based on word embeddings have typically used single tokens to represent entities, including names of people.
Chandler: An Explainable Sarcastic Response Generator
We introduce Chandler, a system that generates sarcastic responses to a given utterance.
Embedding Structured Dictionary Entries
Previous work has shown how to effectively use external resources such as dictionaries to improve English-language word embeddings, either by manipulating the training process or by applying post-hoc adjustments to the embedding space.
SemEval 2021 Task 7: HaHackathon, Detecting and Rating Humor and Offense
Our subtasks were binary humor detection, prediction of humor and offense ratings, and a novel controversy task: to predict if the variance in the humor ratings was higher than a specific threshold.
Smash at SemEval-2020 Task 7: Optimizing the Hyperparameters of ERNIE 2.0 for Humor Ranking and Rating
The use of pre-trained language models such as BERT and ULMFiT has become increasingly popular in shared tasks, due to their powerful language modelling capabilities.
Small Town or Metropolis? Analyzing the Relationship between Population Size and Language
Using a set of over 2 million posts from distinct Twitter users around the country dating back as far as 2014, we ask the following question: is there a difference in how Americans express themselves online depending on whether they reside in an urban or rural area?
Urban Dictionary Embeddings for Slang NLP Applications
The choice of the corpus on which word embeddings are trained can have a sizable effect on the learned representations, the types of analyses that can be performed with them, and their utility as features for machine learning models.
Measuring Semantic Relations between Human Activities
The things people do in their daily lives can provide valuable insights into their personality, values, and interests.
Stateology: State-Level Interactive Charting of Language, Feelings, and Values
People's personality and motivations are manifest in their everyday language usage.
