<div dir="ltr">I received an overwhelming number of responses! I summarize them here for the list, as they were presented:<div><br></div><div><span style="color:rgb(31,73,125);font-family:Calibri,sans-serif;font-size:15px">The Unified Medical Language System Metathesaurus </span><a href="http://www.nlm.nih.gov/research/umls/" style="font-family:Calibri,sans-serif;font-size:15px" target="_blank">http://www.nlm.nih.gov/research/umls/</a><span style="color:rgb(31,73,125);font-family:Calibri,sans-serif;font-size:15px"> has semantic type </span><span style="font-family:Calibri,sans-serif;font-size:15px;background:rgb(255,255,204)">food</span><span style="color:rgb(31,73,125);font-family:Calibri,sans-serif;font-size:15px">: </span><a href="http://www.nlm.nih.gov/research/umls/META3_current_semantic_types.html" style="font-family:Calibri,sans-serif;font-size:15px" target="_blank">http://www.nlm.nih.gov/research/umls/META3_current_semantic_types.html</a></div>
<div><br></div><div><span style="font-family:arial,sans-serif;font-size:13px"> the LA Times did a writeup of scraping together a database from their archive of recipes using NLTK</span><br></div><div><span style="font-family:arial,sans-serif;font-size:13px"> </span><a href="http://datadesk.latimes.com/posts/2013/12/natural-language-processing-in-the-kitchen/" style="font-family:arial,sans-serif;font-size:13px" target="_blank">http://datadesk.latimes.com/posts/2013/12/natural-language-processing-in-the-kitchen</a></div>
<div><span style="color:rgb(0,0,0);font-family:optima,helvetica,'gill sans',helvetica,sans-serif"><font><br></font></span></div><div><span style="color:rgb(0,0,0);font-family:optima,helvetica,'gill sans',helvetica,sans-serif"><font>Carnegie Mellon University Recipe Database </font></span></div>
<div><a href="http://www.ark.cs.cmu.edu/CURD/" style="font-size:13px;font-family:arial,sans-serif" target="_blank">http://www.ark.cs.cmu.edu/CURD/</a></div><div><br></div><div><span style="font-family:arial,sans-serif;font-size:13px">Teng et al (2012) created a large dataset of recipes by crawling </span><a href="http://allrecipes.com/" style="font-family:arial,sans-serif;font-size:13px" target="_blank">allrecipes.com</a><span style="font-family:arial,sans-serif;font-size:13px">: </span><a href="http://arxiv.org/pdf/1111.3919" style="font-family:arial,sans-serif;font-size:13px" target="_blank">http://arxiv.org/pdf/1111.3919</a><br>
</div><div><br></div><div><span style="font-family:arial,sans-serif;font-size:13px">IBM's recipe generation project is based in part on NLP analysis of </span><span style="font-family:arial,sans-serif;font-size:13px;background:rgb(255,255,204)">food</span><span style="font-family:arial,sans-serif;font-size:13px"> resources, but I'm not sure whether these resources are described in detail anywhere:</span><br style="font-family:arial,sans-serif;font-size:13px">
<a href="http://spectrum.ieee.org/computing/software/creating-recipes-with-artificial-intelligence" style="font-family:arial,sans-serif;font-size:13px" target="_blank">http://spectrum.ieee.org/<u></u>computing/software/creating-<u></u>recipes-with-artificial-<u></u>intelligence</a><br style="font-family:arial,sans-serif;font-size:13px">
<a href="http://arxiv.org/pdf/1311.1213v1" style="font-family:arial,sans-serif;font-size:13px" target="_blank">http://arxiv.org/pdf/1311.<u></u>1213v1</a><br></div><div><br></div><div><span style="font-family:arial,sans-serif;font-size:13px">Malmaud et al's (2014) ACL paper "Cooking with Semantics" </span><a href="http://www.cs.ubc.ca/~murphyk/Papers/acl2014.pdf" target="_blank" style="font-family:arial,sans-serif;font-size:13px">http://www.cs.ubc.ca/~murphyk/Papers/acl2014.pdf</a><span style="font-family:arial,sans-serif;font-size:13px"> is not a "resource" of the sort you're seeking but, similar to Teng et al it points to a corpus-driven approach to inducing some of the things you're looking for—just the sort of thing we ought to recommend here on corpora-list. Even without the CURD database that Diarmuid links, a verb in the executable part of a recipe has a good chance of being a "process", and a noun phrase is likely to be an "ingredient". </span><br>
</div><div><br></div><div><span style="font-family:arial,sans-serif;font-size:13px">Data from Chahuneau et al. (2012): </span><a href="http://victor.chahuneau.fr/pub/menus/data" target="_blank" style="font-family:arial,sans-serif;font-size:13px">http://victor.chahuneau.fr/pub/menus/data</a><br style="font-family:arial,sans-serif;font-size:13px">
<span style="font-family:arial,sans-serif;font-size:13px">(Dan Jurafsky may also have data: </span><a href="http://web.stanford.edu/~jurafsky/foodpubs.html" target="_blank" style="font-family:arial,sans-serif;font-size:13px">http://web.stanford.edu/~jurafsky/foodpubs.html</a><span style="font-family:arial,sans-serif;font-size:13px">)</span><br>
</div><div><span style="font-family:arial,sans-serif;font-size:13px"><br></span></div><div><span style="font-family:arial,sans-serif;font-size:13px">I believe some work at U.Saarland covered </span><span class="" style="font-family:arial,sans-serif;font-size:13px;background:rgb(255,255,204)">food</span><span style="font-family:arial,sans-serif;font-size:13px"> and recipes, and generated resources in a variety of modalities; see e.g. </span><a href="http://www.coli.uni-saarland.de/~regneri/docs/TACoS.pdf" target="_blank" style="font-family:arial,sans-serif;font-size:13px">http://www.coli.uni-saarland.de/~regneri/docs/TACoS.pdf</a><span style="font-family:arial,sans-serif;font-size:13px"> .</span><span style="font-family:arial,sans-serif;font-size:13px"><br>
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<div><br clear="all"><div>______________<br><a href="mailto:craig.pfeifer@gmail.com" target="_blank">craig.pfeifer@gmail.com</a></div>
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