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ORCIDFarag Saad
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- affiliation: GESIS
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2020 – today
- 2024
[c16]Farag Saad, Hidir Aras, Mark Prince:
Employing Active Learning for Training a DL-Model for Citation Identification in Patent Text. PatentSemTech@SIGIR 2024: 77-81- [c15]Hidir Aras, Rima Dessi, Farag Saad, Lei Zhang:
Bridging the Innovation Gap: Leveraging Patent Information for Scientists by Constructing a Patent-centric Knowledge Graph. SemTech4STLD@ESWC 2024: 61-67 - 2020
- [c14]Farag Saad, Hidir Aras
, René Hackl-Sommer:
Improving Named Entity Recognition for Biomedical and Patent Data Using Bi-LSTM Deep Neural Network Models. NLDB 2020: 25-36
2010 – 2019
- 2019
- [c13]Farag Saad:
Named Entity Recognition for Biomedical Patent Text using Bi-LSTM Variants. iiWAS 2019: 617-621 - [c12]Farag Saad, René Hackl-Sommer:
Building a Semantic Model for Linking and Visualizing Patent Citations (SeMViPaC). iiWAS 2019: 645-648 - [c11]Farag Saad, Hidir Aras, Stefan Helfrich:
Visual Programming for Patent Mining. PatentSemTech@SEMANTiCS 2019: 22-25 - 2014
- [c10]Farag Saad:
Baseline evaluation: an empirical study of the performance of machine learning algorithms in short snippet sentiment analysis. I-KNOW 2014: 6:1-6:8 - 2013
- [c9]Farag Saad, Brigitte Mathiak, Peter Mutschke:
Supporting Literature Review by Searching, Visualizing and Navigating Related Papers. CGC 2013: 363-368 - [c8]Farag Saad, Brigitte Mathiak:
VisNavi: Citation Context Visualization and Navigation. ECIR 2013: 849-852 - [c7]Andias Wira-Alam, Farag Saad, Peter Mutschke:
Query Expansion based on Conceptual and Contextual Term Relationships in Wikipedia. ISI 2013: 324-338 - [c6]Farag Saad, Brigitte Mathiak:
Revised mutual information approach for german text sentiment classification. WWW (Companion Volume) 2013: 579-586 - [p1]Farag Saad, Andreas Nürnberger:
Translation Ambiguity Resolution Using Interactive Contextual Information. Computational Linguistics - Applications 2013: 219-240 - 2012
- [j3]Farag Ahmed, Andreas Nürnberger:
Literature review of interactive cross language information retrieval tools. Int. Arab J. Inf. Technol. 9(5): 479-486 (2012) - 2011
- [c5]Farag Ahmed, Andreas Nürnberger:
A Web Statistics based Conflation Approach to Improve Arabic Text Retrieval. FedCSIS 2011: 3-9 - [c4]Farag Ahmed, Andreas Nürnberger, Marcus Nitsche:
Supporting Arabic Cross-Lingual Retrieval Using Contextual Information. IRFC 2011: 30-45 - 2010
- [c3]Farag Ahmed, Andreas Nürnberger:
multi Searcher: can we support people to get information from text they can't read or understand? SIGIR 2010: 837-838
2000 – 2009
- 2009
- [j2]Farag Ahmed, Andreas Nürnberger:
Evaluation of n-gram conflation approaches for Arabic text retrieval. J. Assoc. Inf. Sci. Technol. 60(7): 1448-1465 (2009) - [j1]Farag Ahmed, Ernesto William De Luca, Andreas Nürnberger:
Revised N-Gram based Automatic Spelling Correction Tool to Improve Retrieval Effectiveness. Polibits 40: 39-48 (2009) - 2008
- [c2]Farag Ahmed, Andreas Nürnberger:
Arabic/English word translation disambiguation using parallel corpora and matching schemes. EAMT 2008: 6-11 - [c1]Farag Ahmed, Andreas Nürnberger:
Arabic/English word translation disambiguation approach based on naive Bayesian classifier. IMCSIT 2008: 331-338
Coauthor Index
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