Write for Your Reader, Not for Yourself

Authors: David Chiang (University of Notre Dame) Kevin Knight (University of Southern California / Information Sciences Institute)   In our previous post, we ended with the advice to write for your readers, not yourself. This is, truly, easier said than done. Here are three concrete ways to put this into practice. The (n + 1)st …

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Three Writing Tips You Already Know

Authors: David Chiang (University of Notre Dame) Kevin Knight (University of Southern California / Information Sciences Institute)   A few years ago, we prepared a series of workshops on writing research papers and talks. Our first workshop began with three obvious principles: Understand your ideas. Know what a good paper looks like. Write for your …

Greetings from the Industry Track

As Lyn mentioned in the first blog post, an industry track, which focuses on disseminating results from applying NLP technology to real world applications, will debut at NAACL 2018. We are very excited to co-chair this new track and look forward to putting together an interesting program with your contribution and participation! Why an Industry …

PSA: Toronto Paper Matching System

This year we are using the Toronto Paper Matching System (TPMS) as a precursor to bidding. So, a reviewer will see papers sorted by match to them. The goal is to reduce the work load for reviewers. If you don’t want to use this feature you don’t have to but we urge you to consider …

Musings on writing on an NLP/CL paper

Author: Dan Bikel (Google Research)   Writing an NLP/computational linguistics paper can be a daunting prospect, even for seasoned researchers. I approach it way I approach writing for any academic discipline: the continuing stream of papers in the field can be viewed as one giant colloquy amongst the researchers. The point of that joint conversation is …