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The 3rd NLP+CSS workshop will take place on June 6th 2019 at the Hyatt Regency in room Nicollet D1 on the main level.
All workshop poster sessions (from 11:00 to 12:30) will be in the Hyatt Exhibit Hall on the main level.
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9:00–10:30: Session 1
9:00–9:45: Invited Talk 1 - Using Computational Social Science to Understand the "Social Science of Computing" (Brent Hecht)*
9:45–10:30: Invited Talk 2 - From Words To People And Back Again (Rada Mihalcea)*
10:35–11:00
Coffee break
11:00–12:30: Session 2
Poster sessions (Hyatt Exhibit Hall on the main level)
- Not My President: How Names and Titles Frame Political Figures (Esther van den Berg, Katharina Korfhage, Josef Ruppenhofer, Michael Wiegand and Katja Markert)
- Identification, Interpretability, and Bayesian Word Embeddings (Adam Lauretig)
- Simple dynamic word embeddings for mapping perceptions in the public sphere (Nabeel Gillani and Roger Levy)
- Tweet Classification without the Tweet: An Empirical Examination of User versus Document Attributes (Veronica Lynn, Salvatore Giorgi, Niranjan Balasubramanian and H. Andrew Schwartz)
- Geolocating Political Events in Text (Andrew Halterman)
- Uphill from here: Sentiment patterns in videos from left- and right-wing YouTube news channels (Felix Soldner, Justin Chun-ting Ho, Mykola Makhortykh, Isabelle W.J. van der Vegt, Maximilian Mozes and Bennett Kleinberg)
- Neural Network Prediction of Censorable Language (Kei Yin Ng, Anna Feldman, JIng Peng and Chris Leberknight)
- Modeling performance differences on cognitive tests using LSTMs and skip-thought vectors trained on reported media consumption (Maury Courtland, Aida Davani, Melissa Reyes, Leigh Yeh, Jun Leung, Brendan Kennedy, Morteza Dehghani and Jason Zevin)
- Modeling Behavioral Aspects of Social Media Discourse for Moral Classification (Kristen Johnson and Dan Goldwasser)
- A Sociolinguistic Study of Online Echo Chambers on Twitter (Nikita Duseja and Harsh Jhamtani)
- Stance Classification, Outcome Prediction, and Impact Assessment: NLP Tasks for Studying Group Decision-Making (Elijah Mayfield and Alan Black)
- Using time series and natural language processing to identify viral moments in the 2016 U.S. Presidential Debate (Josephine Lukito, Prathusha K Sarma, Jordan Foley and Aman Abhishek)
12:30–14:15
Lunch break
14:15–15:30: Session 3
Spotlight Paper Session:
- 14:15–14:30: Using time series and natural language processing to identify viral moments in the 2016 U.S. Presidential Debate (Josephine Lukito, Prathusha K Sarma, Jordan Foley and Aman Abhishek)
- 14:30–14:45: Stance Classification, Outcome Prediction, and Impact Assessment: NLP Tasks for Studying Group Decision-Making (Elijah Mayfield and Alan Black)
- 14:45–15:00: Uphill from here: Sentiment patterns in videos from left- and right-wing YouTube news channels (Felix Soldner, Justin Chun-ting Ho, Mykola Makhortykh, Isabelle W.J. van der Vegt, Maximilian Mozes and Bennett Kleinberg)
- 15:00–15:15: Simple dynamic word embeddings for mapping perceptions in the public sphere (Nabeel Gillani and Roger Levy)
- 15:15–15:30: Modeling Behavioral Aspects of Social Media Discourse for Moral Classification (Kristen Johnson and Dan Goldwasser)
15:30–16:00
Afternoon coffee break
16:00–17:45: Session 4
16:00–16:45: Invited Talk 3 - Subtle Differences in Other Varieties of English: Implications for language-related research and technology (Lisa Green)*
16:45–17:15: Invited Talk 4 - Treasure Trove or Pandora's Box? Investigating Unstructured User-Generated Data from Online Support Communities (Lana Yarosh)*
17:15–17:30: Closing remarks and wrap-up (Organizers)
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