[Corpora-List] be positive about the negative (JINR plug inside)

[Stan Szpakowicz]

It must have been a most successful year for the 
computational-linguistic community: hardly anybody has had any 
_interesting_ negative results to report. We know, because submissions 
to our journal <www.jinr.org> have stalled (>-:). And yet: ACL 2010 
features a special category of negative-result papers, so there must be 
a need. If the category stays empty, we will have the right to be even 
more upbeat. But if there indeed are interesting negative results to 
report, maybe the Authors will find an incentive to work an ACL hit up 
to a JINR hit. We invite, nay, we welcome all submissions which meet the 
journal's standards. Visit its Web site for more.

For the disinclined to surf, here are the essential points on the home 
page of the Journal of Interesting Negative Results in Natural Language 
Processing and Machine Learning:

"The journal's scope encompasses all areas of Natural Language 
Processing and Machine Learning. Papers published in JINR will meet the 
highest quality standards, as measured by the originality and 
significance of the contribution. They will describe research with 
theoretical and practical significance. All theories and ideas will have 
to be clearly stated and justified by a deep literature review.

Because of the nature of the journal, there should be good justification 
for trying out the ideas presented. The experiments reported should be 
shown in a manner that allows their reproduction. The negative results 
should be explained and justified, along with the reasons why the idea 
did not lead to the predicted results. The lessons learned should be 
clearly stated."

All the best,

Vivi Nastase and Stan Szpakowicz

--
Stan Szpakowicz, PhD, Professor
SITE, Computer Science, University of Ottawa

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