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20012020
most citedUsing Summarization to Discover Argument Facets in Online Ideological Dialog

11 citations · 17 across the 5 of their papers we have counts for

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cs.CL20201 cited

Bio-inspired Structure Identification in Language Embeddings

Hongwei, Zhou, Oskar Elek +2

Word embeddings are a popular way to improve downstream performances in contemporary language modeling. However, the underlying geometric structure of the embedding space is not we…

cs.CL20193 cited

CruzAffect at AffCon 2019 Shared Task: A feature-rich approach to characterize happiness

Jiaqi Wu, Ryan Compton, Geetanjali Rakshit +3

We present our system, CruzAffect, for the CL-Aff Shared Task 2019. CruzAffect consists of several types of robust and efficient models for affective classification tasks. We utili…

cs.CL2017

Summarizing Dialogic Arguments from Social Media

Amita Misra, Shereen Oraby, Shubhangi Tandon +3

Online argumentative dialog is a rich source of information on popular beliefs and opinions that could be useful to companies as well as governmental or public policy agencies. Com…

cs.CL2017

Linguistic Reflexes of Well-Being and Happiness in Echo

Jiaqi Wu, Marilyn Walker, Pranav Anand +1

Different theories posit different sources for feelings of well-being and happiness. Appraisal theory grounds our emotional responses in our goals and desires and their fulfillment…

cs.CL2017

Learning Lexico-Functional Patterns for First-Person Affect

Lena Reed, Jiaqi Wu, Shereen Oraby +2

Informal first-person narratives are a unique resource for computational models of everyday events and people's affective reactions to them. People blogging about their day tend no…

cs.CL20172 cited

Argument Strength is in the Eye of the Beholder: Audience Effects in Persuasion

Stephanie M. Lukin, Pranav Anand, Marilyn Walker +1

Americans spend about a third of their time online, with many participating in online conversations on social and political issues. We hypothesize that social media arguments on su…