---
author:
- |
    Lu Wang$^{1}$      Nick Beauchamp$^{2,3}$      Sarah Shugars$^{3}$      Kechen Qin$^{1}$\
    $^{1}$College of Computer and Information Science, Northeastern University\
    $^{2}$Department of Political Science, Northeastern University\
    $^{3}$Network Science Institute, Northeastern University\
    [luwang@ccs.neu.edu]{}, [n.beauchamp@northeastern.edu]{}\
    [{qin.ke,shugars.s}@husky.neu.edu]{}\
bibliography:
- 'debate.bib'
- 'other.bib'
title: |
    Winning on the Merits:\
    The Joint Effects of Content and Style on Debate Outcomes
---

Introduction
============

Data Description {#sec:data}
================

The Debate Prediction Model {#sec:model}
===========================

Experimental Results {#sec:experiment}
====================

Discussion {#sec:furtherdiscuss}
==========

Related Work {#sec:related}
============

Conclusion {#sec:conclusion}
==========

Acknowledgments {#acknowledgments .unnumbered}
===============

This work was supported in part by National Science Foundation Grant IIS-1566382 and a GPU gift from Nvidia. We thank the TACL reviewers for valuable suggestions on various aspects of this work.
