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Table 8 
English Corpora annotated with negation (NA: Non-Available, -: Absent, ✓:Present).
CorpusAvailabilityLanguageDomainSentencesElementsElements with negationNegationCueScopeEventFocusAgreementFormatIs negation the main phenomenon?
BioInfer (Pyysalo et al. 2007) ✓ English Biomedical 1,100 2,662 relations 163 relations (6.12%) PS, PM, PL − ✓ − − − XML NO 
 
Genia Event (Kim, Ohta, and Tsujii 2008) ✓ English Biomedical 9,372 36,858 events 2,351 events (6.38%) PS, PM, PL − − ✓ − − XML NO 
 
BioScope (Vincze et al. 2008) ✓ English Biomedical 20,924 20,924 sentences 2,720 sentences (13%) CS, CL ✓ ✓ − − ✓ XML YES 
 
Product Review (Councill, McDonald, and Velikovich 2010b) NA English Reviews 2,111 2,111 sentences 679 sentences (32.16%) CS − ✓ − − ✓ NA YES 
 
PropBank Focus (PB-FOC) ✓ English Journal stories 3,779 NA 3,993 verbal negations PS ✓ − − ✓ ✓ TXT YES 
(Blanco and Moldovan 2011a) 
 
ConanDoyle-neg (Morante and Daelemans 2012) ✓ English Literary 4,423 4,423 sentences 995 sentences (22.5%) CS ✓ ✓ ✓ − ✓ TXT YES 
 
SFU ReviewEN (Konstantinova et al. 2012) ✓ English Reviews 17,263 17,263 sentences 3,017 sentences (17.48%) CS ✓ ✓ − − ✓ XML YES 
 
NEG-DrugDDI (Bokharaeian, Díaz Esteban, and Ballesteros Martínez 2013) ✓ English Biomedical 5,806 5,806 sentences 1,399 sentences (24.10%) CS, CM, CL ✓ ✓ − − − XML YES 
 
NegDDI-DrugBank (Bokharaeian et al. 2014) ✓ English Biomedical 6,648 6,648 sentences 1,448 sentences (21.78%) CS, CM, CL ✓ ✓ − − − XML YES 
 
Deep Tutor Negation (Banjade and Rus 2016) ✓ English Tutorial dialogues NA 27,785 student responses 2,603 student responses (9.37%) CS, CL ✓ ✓ − ✓ ✓ TXT YES 
 
SOCC (Kolhatkar et al. 2019) ✓ English Opinion articles 3,612 3,612 sentences 1,130 sentences (31.28%) CS, PL, PM ✓ ✓ − ✓ ✓ TSV NO 
CorpusAvailabilityLanguageDomainSentencesElementsElements with negationNegationCueScopeEventFocusAgreementFormatIs negation the main phenomenon?
BioInfer (Pyysalo et al. 2007) ✓ English Biomedical 1,100 2,662 relations 163 relations (6.12%) PS, PM, PL − ✓ − − − XML NO 
 
Genia Event (Kim, Ohta, and Tsujii 2008) ✓ English Biomedical 9,372 36,858 events 2,351 events (6.38%) PS, PM, PL − − ✓ − − XML NO 
 
BioScope (Vincze et al. 2008) ✓ English Biomedical 20,924 20,924 sentences 2,720 sentences (13%) CS, CL ✓ ✓ − − ✓ XML YES 
 
Product Review (Councill, McDonald, and Velikovich 2010b) NA English Reviews 2,111 2,111 sentences 679 sentences (32.16%) CS − ✓ − − ✓ NA YES 
 
PropBank Focus (PB-FOC) ✓ English Journal stories 3,779 NA 3,993 verbal negations PS ✓ − − ✓ ✓ TXT YES 
(Blanco and Moldovan 2011a) 
 
ConanDoyle-neg (Morante and Daelemans 2012) ✓ English Literary 4,423 4,423 sentences 995 sentences (22.5%) CS ✓ ✓ ✓ − ✓ TXT YES 
 
SFU ReviewEN (Konstantinova et al. 2012) ✓ English Reviews 17,263 17,263 sentences 3,017 sentences (17.48%) CS ✓ ✓ − − ✓ XML YES 
 
NEG-DrugDDI (Bokharaeian, Díaz Esteban, and Ballesteros Martínez 2013) ✓ English Biomedical 5,806 5,806 sentences 1,399 sentences (24.10%) CS, CM, CL ✓ ✓ − − − XML YES 
 
NegDDI-DrugBank (Bokharaeian et al. 2014) ✓ English Biomedical 6,648 6,648 sentences 1,448 sentences (21.78%) CS, CM, CL ✓ ✓ − − − XML YES 
 
Deep Tutor Negation (Banjade and Rus 2016) ✓ English Tutorial dialogues NA 27,785 student responses 2,603 student responses (9.37%) CS, CL ✓ ✓ − ✓ ✓ TXT YES 
 
SOCC (Kolhatkar et al. 2019) ✓ English Opinion articles 3,612 3,612 sentences 1,130 sentences (31.28%) CS, PL, PM ✓ ✓ − ✓ ✓ TSV NO 

Note: PS, PM, and PL are used when syntactic, morphological, and lexical negations are annotated partially. CS, CM, and CL represents that all syntactic, morphological, and lexical negations have been annotated.

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