I'll go on the record now and say that I'm optimistic about "Findings of EMNLP" and other similar plans to add publication capacity to NLP conferences. Reputation and prestige are social constructs. In NLP, *we* are constructing them. What it "means" to have a paper 1/n
published in EMNLP vs. Findings is something *we* get to decide. Findings will be a respected venue if strong, citation-worthy work is published there. Good, useful, informative work has been getting rejected under the old model, and that slows everyone down (authors who 2/n
must decide to work on the paper for another round, its future reviewers, and all of us who don't get to see the work for another cycle). For papers of mine that got into "Findings," I'm advocating to my coauthors accept that outcome and hope others will too. The main 3/n
down-side is that you won't get a conference talk or poster, but surely with modern indexing tools and "democratized" platforms for sharing content, I'm pretty sure we can find our way through this. 4/4
Oh, and I meant to add to this a huge thanks to the program committee, especially its co-chairs, for an unprecedentedly large act of service in putting together @emnlp2020 !

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More from @nlpnoah

27 Jun
Friday evening contemplation after a run and a Bennett (Gimlet + grapefruit bitters, you are welcome). Some of the dramatic/unpleasant exchanges we see on this platform would have a lot less meaning if we didn't have celebrity scientists. Like, what if we just had 1/n
a network of people with overlapping knowledge, skills, and interests, working sometimes together and sometimes separately on related problems. From time to time papers would be published, we'd all read those relevant to our interests, and contribute back when ready. 2/n
This may sound absurd, but that's more or less how NLP looked 20 years ago. Not always peaceful or generous, but definitely no "fathers of the field" nonsense. At my first conference, I somehow ended up at a banquet table with Aravind Joshi, who a few years later won 3/n
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