Stanford linguists at EMNLP 2018

Several Stanford linguists will be presenting their work halfway across the world in Brussels, Belgium, for the 2018 Conference on Empirial Methods in Natural Language Processing (EMNLP 2018) next week from October 31 to November 4:

• Sebastian Schuster has an oral presentation "Enhancing Universal Dependency Treebanks: A Case Study"
• Dan Jurafsky and Jennifer Pan (Assistant Professor of Communication at Stanford) are presenting their paper "Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies"
• Matthew Lamm, Chris Manning, and Dan Jurafsky are presenting their publication "Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts" 
• Chris Potts and Y. Alex Kolchinski (graduate student of the Department of Education at Stanford) are presenting "Representing Social Media Users for Sarcasm Detection"
• Chris Manning is also co-organizer of the workshops "HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answer" and "Semi-Supervised Sequence Modeling with Cross-View Training" as well as a co-researcher of other publications like "Graph Convolution over Pruned Dependency Trees Improves Relation Extraction"