activity
20182021
most citedAnalyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings

46 citations · 47 across the 2 of their papers we have counts for

collaborators

5 papers

cs.CL20211 cited

Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions

Dorottya Demszky, Jing Liu, Zid Mancenido +4

In conversation, uptake happens when a speaker builds on the contribution of their interlocutor by, for example, acknowledging, repeating or reformulating what they have said. In e…

cs.CL2020

The Role of Verb Semantics in Hungarian Verb-Object Order

Dorottya Demszky, László Kálmán, Dan Jurafsky +1

Hungarian is often referred to as a discourse-configurational language, since the structural position of constituents is determined by their logical function (topic or comment) rat…

cs.CL2020

GoEmotions: A Dataset of Fine-Grained Emotions

Dorottya Demszky, Dana Movshovitz-Attias, Jeongwoo Ko +3

Understanding emotion expressed in language has a wide range of applications, from building empathetic chatbots to detecting harmful online behavior. Advancement in this area can b…

cs.CL201946 cited

Analyzing Polarization in Social Media: Method and Application to Tweets on 21 Mass Shootings

Dorottya Demszky, Nikhil Garg, Rob Voigt +4

We provide an NLP framework to uncover four linguistic dimensions of political polarization in social media: topic choice, framing, affect and illocutionary force. We quantify thes…

cs.CL2018

Transforming Question Answering Datasets Into Natural Language Inference Datasets

Dorottya Demszky, Kelvin Guu, Percy Liang

Existing datasets for natural language inference (NLI) have propelled research on language understanding. We propose a new method for automatically deriving NLI datasets from the g…