| Year | Rank | Type | Title / Venue / Authors |
|---|---|---|---|
| 2025 | B | conf |
CogSci
|
| 2024 | J | jnl |
Cogn. Sci.
|
| 2020 | B | conf |
CogSci
|
| 2019 | B | conf |
INLG
|
| 2018 | B | conf |
COLING
|
| 2018 | — | conf |
VarDial@COLING 2018
|
| 2017 | B | conf |
CogSci
|
| 2016 | J | jnl |
Cogn. Sci.
|
| 2016 | — | conf |
MILS@HiPEAC
|
| 2016 | C | conf |
DSD
|
| 2016 | B | conf |
CogSci
|
| 2015 | — | conf |
MILS@HiPEAC
|
| 2014 | B | conf |
CogSci
|
| 2014 | B | conf |
CogSci
|
| 2013 | B | conf |
CogSci
|
| 2013 | J | jnl |
Cogn. Sci.
|
| 2013 | B | conf |
CogSci
|
| 2012 | J | jnl |
Cogn. Sci.
|
| 2012 | B | conf |
Learning Preferences for Referring Expression Generation: Effects of Domain, Language and Algorithm.
INLG
|
| 2011 | — | conf |
ACL (2)
|
| 2011 | B | conf |
CogSci
|
| 2011 | B | conf |
CogSci
|
| 2010 | B | conf |
INLG
|
| 2010 | B | conf |
The D-TUNA Corpus: A Dutch Dataset for the Evaluation of Referring Expression Generation Algorithms.
LREC
|