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Found 15 papers, 0 papers with code
Bio-inspired Structure Identification in Language Embeddings
Word embeddings are a popular way to improve downstream performances in contemporary language modeling.
CruzAffect at AffCon 2019 Shared Task: A feature-rich approach to characterize happiness
Our results indicate that generic characteristics are shared between the classes of agency, social and concepts, suggesting it should be possible to build general models for affective classification tasks.
Summarizing Dialogic Arguments from Social Media
We show that we can identify the most important arguments by using the dialog context with a best F-measure of 0. 74 for gun control, 0. 71 for gay marriage, and 0. 67 for abortion.
Using Summarization to Discover Argument Facets in Online Ideological Dialog
What are the CENTRAL PROPOSITIONS associated with different stances on an issue, what are the abstract objects under discussion that are central to a speaker's argument?
Learning Lexico-Functional Patterns for First-Person Affect
Informal first-person narratives are a unique resource for computational models of everyday events and people's affective reactions to them.
Linguistic Reflexes of Well-Being and Happiness in Echo
Our goal is to ground the linguistic descriptions of events that users experience in theories of well-being and happiness, and then examine the extent to which different theoretical accounts can explain the variance in the happiness scores.
Argument Strength is in the Eye of the Beholder: Audience Effects in Persuasion
Americans spend about a third of their time online, with many participating in online conversations on social and political issues.
Modelling Protagonist Goals and Desires in First-Person Narrative
Many genres of natural language text are narratively structured, a testament to our predilection for organizing our experiences as narratives.
A Corpus for Research on Deliberation and Debate
As an application of this resource, the paper closes with a discussion of the relationship between discourse marker pragmatics, agreement, emotionality, and sarcasm in the IAC corpus.
