 | 2011 |
| 13 |  | Mohamed Outahajala,
Yassine Benajiba,
Paolo Rosso,
Lahbib Zenkouar:
POS Tagging in Amazighe Using Support Vector Machines and Conditional Random Fields.
NLDB 2011: 238-241 |
| 2010 |
| 12 |  | Yassine Benajiba,
Imed Zitouni,
Mona T. Diab,
Paolo Rosso:
Arabic Named Entity Recognition: Using Features Extracted from Noisy Data.
ACL (Short Papers) 2010: 281-285 |
| 11 |  | Yassine Benajiba,
Imed Zitouni:
Enhancing Mention Detection Using Projection via Aligned Corpora.
EMNLP 2010: 993-1001 |
| 10 |  | Yassine Benajiba,
Imed Zitouni:
Arabic Mention Detection: Toward Better Unit of Analysis.
HLT-NAACL 2010: 709-712 |
| 9 |  | Yassine Benajiba,
Imed Zitouni:
Arabic Word Segmentation for Better Unit of Analysis.
LREC 2010 |
| 2009 |
| 8 |  | Yassine Benajiba,
Imed Zitouni:
Morphology-Based Segmentation Combination for Arabic Mention Detection.
ACM Trans. Asian Lang. Inf. Process. 8(4): (2009) |
| 7 |  | Yassine Benajiba,
Mona T. Diab,
Paolo Rosso:
Arabic Named Entity Recognition: A Feature-Driven Study.
IEEE Transactions on Audio, Speech & Language Processing 17(5): 926-934 (2009) |
| 6 |  | Yassine Benajiba,
Mona T. Diab,
Paolo Rosso:
Using Language Independent and Language Specific Features to Enhance Arabic Named Entity Recognition.
Int. Arab J. Inf. Technol. 6(5): 463-471 (2009) |
| 2008 |
| 5 |  | Yassine Benajiba,
Mona T. Diab,
Paolo Rosso:
Arabic Named Entity Recognition using Optimized Feature Sets.
EMNLP 2008: 284-293 |
| 2007 |
| 4 |  | Yassine Benajiba,
Paolo Rosso,
José-Miguel Benedí:
ANERsys: An Arabic Named Entity Recognition System Based on Maximum Entropy.
CICLing 2007: 143-153 |
| 3 |  | Yassine Benajiba,
Paolo Rosso,
José Manuel Gómez Soriano:
Adapting the JIRS Passage Retrieval System to the Arabic Language.
CICLing 2007: 530-541 |
| 2 |  | Davide Buscaldi,
Yassine Benajiba,
Paolo Rosso,
Emilio Sanchis:
Web-Based Anaphora Resolution for the QUASAR Question Answering System.
CLEF 2007: 324-327 |
| 1 |  | Yassine Benajiba,
Paolo Rosso:
ANERsys 2.0: Conquering the NER Task for the Arabic Language by Combining the Maximum Entropy with POS-tag Information.
IICAI 2007: 1814-1823 |