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Table 4 Information about general semantic relation evaluation dataset

From: Evaluating semantic relations in neural word embeddings with biomedical and general domain knowledge bases

Subtasks

# of evaluation

Percentage1

Relation

Average2

 

terms

 

terms #

 

UMLS synonym

9,235

41.47%

9,211

3.14

Synonym

15,591

70.01%

48,030

4.25

Antonym

2,225

9.99%

2,977

1.38

Hypernym

16,400

73.64%

58,154

4.85

Hoponym

9,168

41.17%

112,215

19.84

Holonym

4,694

21.08%

9,944

3.69

Meronym

3,191

14.33%

13,056

7.14

Sibling

13,993

62.83%

869,814

86.38

Derivation

9,620

43.20%

27,782

2.92

Pertainym

926

4.16%

987

1.20

Total

22,271

38.19%*

1,168,921

9.35

  1. 1Percentage of evaluation terms that has at least one term with the relation
  2. 2Average number of relation terms that this type of evaluation terms has
  3. *Average of all the subtasks
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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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