CoNLL
NLP
1,322 papers
· 2000–2026
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
41
48
52
53
17
44
35
55
55
89
101
115
61
52
28
72
69
40
47
2000
'5
'10
'15
'20
'25
Top authors
Dan Roth
32 papers
Lluis Marquez
16 papers
Hai Zhao
16 papers
Alessandro Moschitti
15 papers
Nianwen Xue
14 papers
Yuji Matsumoto
14 papers
Omri Abend
13 papers
Walter Daelemans
12 papers
Roi Reichart
12 papers
Tal Linzen
11 papers
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their counts at this venue are combined. How identity is handled.