Nicolas Nicolov

Nicolas Nicolov

is author/editor of the following titles:

image not available
Recent Advances in Natural Language Processing V: Selected papers from RANLP 2007
Edited by Nicolas Nicolov, Galia Angelova and Ruslan Mitkov
[Current Issues in Linguistic Theory, 309]  2009.  x, 338 pp.
image not available
Recent Advances in Natural Language Processing IV: Selected papers from RANLP 2005
Edited by Nicolas Nicolov, Kalina Bontcheva, Galia Angelova and Ruslan Mitkov
[Current Issues in Linguistic Theory, 292]  2007.  xii, 307 pp.
image not available
Recent Advances in Natural Language Processing III: Selected papers from RANLP 2003
Edited by Nicolas Nicolov, Kalina Bontcheva, Galia Angelova and Ruslan Mitkov
[Current Issues in Linguistic Theory, 260]  2004.  xii, 402 pp.
image not available
Recent Advances in Natural Language Processing: Selected Papers from RANLP ’95
Edited by Ruslan Mitkov and Nicolas Nicolov
[Current Issues in Linguistic Theory, 136]  1997.  xii, 472 pp.

is editor/board member of the following book series:

is author of the following articles:

image not available
Choi, Jinho D. and Nicolas Nicolov. 2009. “ K-best, locally pruned, transition-based dependency parsing using robust risk minimization”. In Recent Advances in Natural Language Processing V: Selected papers from RANLP 2007, 205–216
image not available
Knights, Dan, Mike Mozer and Nicolas Nicolov. 2009. “Detecting topic drift”. In Recent Advances in Natural Language Processing V: Selected papers from RANLP 2007, 113–130
image not available
Nicolov, Nicolas and Franco Salvetti. 2007. “Efficient spam analysis for weblogs through URL segmentation”. In Recent Advances in Natural Language Processing IV: Selected papers from RANLP 2005, 125–136
image not available
Nicolov, Nicolas and Chris Mellish. 2000. “PROTECTOR”. In Recent Advances in Natural Language Processing: Volume II: Selected papers from RANLP ’97, 221
image not available
Nicolov, Nicolas, Chris Mellish and Graeme D. Ritchie. 1997. “Approximate chart generation from non-hierarchical representations”. In Recent Advances in Natural Language Processing: Selected Papers from RANLP ’95, 273–294