CoNLL
NLP
1,547 papers
· 2000–2025
CoNLL (Conference on Computational Natural Language Learning) focuses on machine learning approaches to natural language.
Papers per year
45
27
36
36
25
40
39
132
41
48
52
53
157
44
35
55
55
89
101
115
61
52
28
72
69
40
2000
'5
'10
'15
'20
'25
Top authors
Dan Roth
36 papers
Hai Zhao
16 papers
Lluis Marquez
16 papers
Yuji Matsumoto
16 papers
Alessandro Moschitti
15 papers
Dan Klein
15 papers
Joakim Nivre
15 papers
Christopher D. Manning
15 papers
Hwee Tou Ng
14 papers
Roi Reichart
14 papers