Dong-Suk Oh

Computer Science

1. Language Modeling 100%
2. Commonsense Reasoning 84%
3. Pre-Trained Language Models 78%
4. Disambiguation 51%
5. Bidirectional Encoder Representations From Transformers 44%
6. Response Selection 38%
7. Semantic Representation 34%
8. Large Language Model 33%
9. Graph Convolutional Network 27%
10. Graph Information 25%
11. Word Embedding 25%
12. Conversational Agent 23%
13. Semantic Search 21%
14. Natural Language Processing 21%
15. Graph Representation 21%
16. Reasoning Process 17%
17. Experimental Result 17%
18. Artificial Intelligence 17%
19. Processing Task 16%
20. Quality Assessment 12%
21. Information Loss 12%
22. Spectral Domain 12%
23. Semantic Processing 12%
24. Confirmation Bias 12%
25. Trustworthy AI 12%
26. Contrastive Learning 12%
27. Superior Performance 11%
28. Quantitative Evaluation 11%
29. Baseline Model 11%
30. Semantic Relationship 11%
31. External Knowledge 9%
32. Dialog System 8%
33. Detection Method 8%
34. Adversarial Machine Learning 8%
35. Common Sense Knowledge 8%
36. Similarity Search 8%
37. Baseline Method 6%
38. Common Sense 6%
39. Dialog History 6%
40. Segmentation Performance 6%
41. Aging Population 6%
42. Data Preprocessing 6%
43. Automatic Segmentation 6%
44. Spatial Information 6%
45. Manual Segmentation 6%
46. Human Language 5%
47. Lower Performance 5%
48. Classification Task 5%
49. Binary Classification 5%
50. Annotation 5%