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Robust Extraction of Metaphor from Novel Data
TLDR
This article uses Topical Structure and Tracking, an Imageability score, and innovative methods to build an effective metaphor identification system that is fully automated and performs well over baseline. Expand
Using Imageability and Topic Chaining to Locate Metaphors in Linguistic Corpora
TLDR
A novel approach to metaphor identification which is based on three intersecting methods: imageability, topic chaining, and semantic clustering is described, which hypothesis is that metaphors are likely to use highly imageable words that do not generally have a topical or semantic association with the surrounding context. Expand
Measuring Game Engagement
Background. Engagement has been identified as a crucial component of learning in games research. However, the conceptualization and operationalization of engagement vary widely in the literature.Expand
ANEW+: Automatic Expansion and Validation of Affective Norms of Words Lexicons in Multiple Languages
TLDR
The method of automatically expanding an existing lexicon of words with affective valence scores is described and the procedure for automatically creating lexicons in languages where such resources may not previously exist is described. Expand
I Stand With You: Using Emojis to Study Solidarity in Crisis Events
TLDR
Emojis are a powerful indicator of sociolinguistic behaviors that are exhibited on social media as the crisis events unfold and are used to characterize human behavior in online social networks, through the temporal and geospatial diffusion of emojis. Expand
TeamUNCC at SemEval-2018 Task 1: Emotion Detection in English and Arabic Tweets using Deep Learning
TLDR
TeamUNCC’s system to detect emotions in English and Arabic tweets is described and performance results show substantial improvements in Spearman correlation scores over the baseline models provided by Task 1 organizers. Expand
Modeling Socio-Cultural Phenomena in Discourse
TLDR
A two-tier approach is developed in which certain social language uses are first detected and classify that serve as first order models from which presence the higher level social constructs such as leadership, may be inferred. Expand
Can You Verifi This? Studying Uncertainty and Decision-Making About Misinformation Using Visual Analytics
TLDR
It is revealed that the presence of conflicting information, presented to users in the form of cues, impacts the ability to judge the veracity of news in systematic ways and has the potential to inform the design of visual analytics systems so that they may be used to mitigate the effects of cognitive biases and stymie the spread of misinformation on social media. Expand
Computing Affect in Metaphors
This article describes a novel approach to automated determination of affect associated with metaphorical language. Affect in language is understood to mean the attitude toward a topic that a writerExpand
A New Dataset and Evaluation for Belief/Factuality
TLDR
An ongoing annotation effort and an associated evaluation of the propositional content of an utterance as firmly believed by the writer and not firmly believed, or having some other status are presented. Expand
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