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Found 32 papers, 2 papers with code
Ethics Sheets for AI Tasks
I will also present a template for ethics sheets with 50 ethical considerations, using the task of emotion recognition as a running example.
Assessing Language Model Deployment with Risk Cards
However, there is no risk-centric framework for documenting the complexity of a landscape in which some risks are shared across models and contexts, while others are specific, and where certain conditions may be required for risks to manifest as harms.
Big BiRD: A Large, Fine-Grained, Bigram Relatedness Dataset for Examining Semantic Composition
Finally, we present benchmark experiments on using the relatedness dataset as a testbed to evaluate simple unsupervised measures of semantic composition.
How do we feel when a robot dies? Emotions expressed on Twitter before and after hitchBOT's destruction
In 2014, a chatty but immobile robot called hitchBOT set out to hitchhike across Canada.
Obtaining Reliable Human Ratings of Valence, Arousal, and Dominance for 20,000 English Words
Words play a central role in language and thought.
SemEval-2018 Task 1: Affect in Tweets
We present the SemEval-2018 Task 1: Affect in Tweets, which includes an array of subtasks on inferring the affectual state of a person from their tweet.
Agree or Disagree: Predicting Judgments on Nuanced Assertions
Being able to predict whether people agree or disagree with an assertion (i. e. an explicit, self-contained statement) has several applications ranging from predicting how many people will like or dislike a social media post to classifying posts based on whether they are in accordance with a particular point of view.
DeepMiner at SemEval-2018 Task 1: Emotion Intensity Recognition Using Deep Representation Learning
In this paper, we propose a regression system to infer the emotion intensity of a tweet.
Sentiment Lexicons for Arabic Social Media
Existing Arabic sentiment lexicons have low coverage―with only a few thousand entries.
Happy Accident: A Sentiment Composition Lexicon for Opposing Polarity Phrases
Sentiment composition is the determining of sentiment of a multi-word linguistic unit, such as a phrase or a sentence, based on its constituents.
A Dataset for Detecting Stance in Tweets
Apart from stance, the tweets are also annotated for whether the target of interest is the target of opinion in the tweet.
From Once Upon a Time to Happily Ever After: Tracking Emotions in Novels and Fairy Tales
We introduce the concept of emotion word density, and using the Brothers Grimm fairy tales as example, we show how collections of text can be organized for better search.
Colourful Language: Measuring Word-Colour Associations
Since many real-world concepts are associated with colour, for example danger with red, linguistic information is often complimented with the use of appropriate colours in information visualization and product marketing.
