[CL+NLP Lunch] CL+NLP Lunch November 19 @ 12.30pm: Vinodkumar Prabhakaran

[Dani Yogatama]

reminder: in 30 minutes

On Wed, Nov 13, 2013 at 4:14 PM, Dani Yogatama <dyogatama at cs.cmu.edu> wrote:

> *CL+NLP Lunch *(*http://www.cs.cmu.edu/~nlp-lunch/
> <http://www.cs.cmu.edu/~nlp-lunch/>*)
> *Speaker*: Vinodkumar Prabhakaran, Columbia University
> *Date*: Tuesday, November 19, 2013
> *Time*: 12:30pm *(note: 12.30pm not at noon)*
> *Venue*: GHC 4405
>
> *Title:* Manifestations of Social Power in Interactions
>
> *Abstract:* In this talk, I will present the study on how social power relations
> affect the way people interact with one another in both
> online and offline settings and how we can use statistical machine
> learning techniques to detect these power relations automatically. The
> talk will cover studies on two different domains — A) Enron email
> corpus (written, task-oriented) and B) 2012 Republican Presidential
> Primary debates (spoken, persuasive). In part A, we explored four
> different types of power — influence, hierarchical power, situational
> power, and power over communication — within an organizational
> setting. We found that these four types of power i) manifest in the
> structure of the dialog, ii) are different in the ways they manifest
> in dialog and iii) can be predicted using automatic means with
> reasonable performance. In part B, the presidential primary debates,
> we modeled power based on the candidates’ relative position in the
> recent polls released prior to each debate. We found that a
> candidate’s power affects the way they interact with others in the
> debate as well as the way others interact with them. I will also
> present an automatic power ranker system to rank candidates in terms
> of their relative power based on linguistic and structural features.
>
> *Bio:* Vinodkumar Prabhakaran is a 4th year PhD student working under
> the supervision of Dr. Owen Rambow at the Center for Computational
> Learning Systems (CCLS). His research focuses on statistical machine
> learning techniques for NLP and spans across different areas within
> NLP such as computational sociolinguistics, semantic analysis and
> biomedical information extraction. His thesis focuses on analyzing
> social interactions to detect social power relations between
> interactants, across various type of power, genres and domains. His
> work has been published at various international venues such as WWW,
> NAACL, COLING, IJCNLP and ECAI.
>
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