Home Organization Call For Papers

Methods for Optimizing and Evaluating Neural Language Generation (NeuralGen)

Overview

The goal of this workshop is to discuss new methods for language generation that address some of the recurring problems in existing language generation techniques (eg. bland, repetitive language) as well as novel techniques for robustly evaluating and interpreting model output.

We are accepting papers in the following areas:

Novel approaches to training language generation models: reinforcement learning with novel global scores; variational approaches to language production; adversarial training of generation models; editing and rewriting methods for language generation; multi-task learning for inductive biasing; pretrained discriminators; unsupervised, weakly supervised, and semi-supervised language generation

Evaluation of language generation models: new metrics for jointly or separately evaluating different characteristics of coherent language; training separate networks to evaluate generation models

Generalization of language generation approaches: interpreting the internals of language generation models; transfer learning for generation; style transfer approaches

Contact Info

Email: neuralgen2019@gmail.com

Program

Highlights

  • 6-8 speakers
  • Poster Session
  • Panel Discussion

Speakers

Kyunghyun Cho New York University, Facebook AI Research
Yejin Choi University of Washington, Allen Institute for AI
Hal Daumé III University of Maryland, Microsoft Research
He He New York University, Amazon Web Services
Mirella Lapata University of Edinburgh
Graham Neubig Carnegie Mellon University
Joelle Pineau McGill University, Facebook AI Research
Alexander Rush Harvard University

Schedule (prospective)

8:55 - 9:00Organizer Comments
9:00 - 9:30Speaker 1
9:30 - 10:00Speaker 2
10:00 - 10:30Speaker 3
10:30 - 10:45Coffee Break
10:45 - 11:15Speaker 4
11:15 - 11:45Speaker 5
11:45 - 1:15Lunch
1:15 - 1:45Speaker 6
1:45 - 2:15Speaker 7
2:15 - 3:45Poster Session & Coffee Break
4:45 - 4:15Speaker 8
4:15 - 5:30Panel

Organization

Steering Committee

Yejin Choi University of Washington
Dilek Hakkani-Tür Amazon Research
Dan JurafskyStanford University
Alexander Rush Harvard University

Organizing Committee

Antoine Bosselut University of Washington
Marjan GhazvininejadFacebook AI Research
Srinivasan IyerUniversity of Washington
Urvashi Khandelwal Stanford University
Hannah RashkinUniversity of Washington
Asli CelikyilmazMicrosoft Research

Program Committee

  • Adji Dieng
Columbia U
  • Maxwell Forbes
U Washington
  • Alan Ritter
Ohio State U
  • Mohit Iyyer
UMass Amherst
  • Alexander Rush
Harvard U
  • Omer Levy
Facebook AI Research
  • Angela Fan
Facebook AI Research
  • Ondrej Dusek
Heriot-Watt U
  • Ari Holtzman
U Washington
  • Po-Sen Huang
Deepmind
  • Arun Chaganty
Eloquent Labs
  • Ramakanth Pasunuru
UNC
  • Caiming Xiong
Salesforce Research
  • Rik Koncel-Kedziorski
U Washington
  • Dallas Card
CMU
  • Roee Aharoni
Bar-Ilan U
  • Daniel Fried
UC Berkeley
  • Romain Paulus
Salesforce Research
  • Dimitra Gkatzia
Edinburgh-Napier U
  • Sam Wiseman
TTIC
  • Dinghan Shen
Duke University
  • Sebastian Gerhmann
Harvard U
  • Elizabeth Clark
U Washington
  • Siva Reddy
Stanford U
  • Hamid Palangi
Microsoft Research
  • Spandana Gella
U Edinburgh
  • He He
NYU
  • Swabha Swayampdipta
CMU
  • Ioannis Konstas
Heriot-Watt U
  • Tatsunori Hashimoto
Stanford U
  • Jan Buys
U Washington
  • Vered Shwartz
Bar-Ilan U
  • John Wieting
CMU
  • Verena Rieser
Heriot-Watt U
  • Kai-wei Chang
UCLA
  • Yangfeng Ji
U Virginia
  • Lukasz Kaiser
Google AI
  • Yizhe Zhang
Microsoft Research
  • Maarten Sap
U Washington
  • Yonatan Bisk
U Washington
  • Mark Yatskar
Allen Institute for AI