Experiments

WikiCFP Acronyms

Input: Each WikiCFP page has a description rdfA property that use the syntax <acronym>:<title>. E.g. http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=20605 has:

ISEM 2012 : 8th International Conference on Semantic Systems

Acronym: ISEM 2012 Title: 8th International Conference on Semantic Systems

We have scraped 81966 wikiCFP pages for the acronym and title based on this syntax.

Question: What patterns do the acronyms follow with what frequency?

Assumption: The Regular expression '[A-Z]+\s*[0-9]+ might fit - A sequence of upper case letters followed by whitespace followed by a sequence of digits.

Test with Sample of 5

ProceedingsTitleParser/WolfgangFahl:adds test for Acronyms (Wolfgang Fahl/2020-10-31 12:18:54 +0100)

def testAcronyms(self):
        '''
        test Acronyms
        '''
        wikiCFP=WikiCFP()
        em=wikiCFP.em
        sqlDB=em.getSQLDB(em.getCacheFile(em.config, StoreMode.SQL))
        acronymRecords=sqlDB.query("select acronym from event_wikicfp")
        print ("total acronyms: %d" % len(acronymRecords))
        for regex in [r'[A-Z]+\s*[0-9]+']:
            for acronymRecord in acronymRecords[:5]:
                acronym=acronymRecord['acronym']
                matches=re.match(regex,acronym)
                print ("%s:%s" % ('✅' if matches else '❌' ,acronym))

✅:COLING 2008 ✅:IJCNLP 2008 ❌:Prosody and Language Processing 2008 ✅:ICGL 2008 ✅:ICPLA 2008

That is an 80% fit for the first 5. Looks promising ... Was this just by chance? Try out more (10)

 limit=10
        count=0
        for regex in [r'[A-Z]+\s*[0-9]+']:
            for acronymRecord in acronymRecords[:limit]:
                acronym=acronymRecord['acronym']
                matches=re.match(regex,acronym)
                if matches:
                    count+=1
                print ("%s:%s" % ('✅' if matches else '❌' ,acronym))
            print("%d/%d (%5.1f%%) matches for %s" % (count,limit,count/limit*100,regex))

✅:COLING 2008 ✅:IJCNLP 2008 ❌:Prosody and Language Processing 2008 ✅:ICGL 2008 ✅:ICPLA 2008 ❌:LabPhon 11 2008 ✅:MALC 2007 ❌:KCTOS workshop 2007 ❌:Euralex 2008 2008 ❌:SCL and SPCL Cayenne 2008

5/10 ( 50.0%) matches for [A-Z]+\s*[0-9]+

Poorer luck this time? Try 10.000 for a bigger sample:

7077/10000 ( 70.8%) matches for [A-Z]+\s*[0-9]+

Will this converge? Try 50.000 acronyms now:

33707/50000 ( 67.4%) matches for [A-Z]+\s*[0-9]+

Try the whole sample set 81.996 next:

49728/81966 ( 60.7%) matches for [A-Z]+\s*[0-9]+

Discussion

Note that the samples were not random but the query style retrieves records in the order of the "eventId" initially being used for scraping. This might also be correlated to the year of the CFP which we extracted from the "start_date" rdfA property.
ProceedingsTitleParser/WolfgangFahl:adds queries (Wolfgang Fahl/2020-10-31 13:07:36 +0100)

order of CFPs

select eventId,acronym,year,url from event_wikicfp limit 10


eventId	acronym	year	url
wikiCFP#158	COLING 2008	2008	http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=158
wikiCFP#159	IJCNLP 2008	2008	http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=159
wikiCFP#160	Prosody and Language Processing 2008	2008	http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=160
wikiCFP#161	ICGL 2008	2008	http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=161
wikiCFP#162	ICPLA 2008	2008	http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=162
wikiCFP#163	LabPhon 11 2008	2008	http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=163
wikiCFP#164	MALC 2007	2007	http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=164
wikiCFP#165	KCTOS workshop 2007	2007	http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=165
wikiCFP#166	Euralex 2008 2008	2008	http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=166
wikiCFP#167	SCL and SPCL Cayenne 2008	2008	http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=167

cfps per year

select count(*) as perYear,year 
from event_wikicfp 
group by year
order by 2


perYear	year
8235	None
1	35
1	1920
20	2000
5	2001
1	2002
1	2004
2	2005
462	2007
2177	2008
2541	2009
4069	2010
5363	2011
5298	2012
5153	2013
5742	2014
5721	2015
6346	2016
7355	2017
8207	2018
8006	2019
6237	2020
1014	2021
2	2022
1	2024
1	2025
3	2026
1	2081
1	2091

Acronym - Regular Expressions

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