Arabic/English word translation disambiguation using parallel corpora and matching schemes. - Farag Ahmed; Andreas Nürnberger (EAMT, 2008)

Arabic/English word translation disambiguation approach based on naive Bayesian classifier. - Farag Ahmed; Andreas Nürnberger (IMCSIT, 2008)

Evaluation of n-gram conflation approaches for Arabic text retrieval. - Farag Ahmed; Andreas Nürnberger (J. Assoc. Inf. Sci. Technol., 2009)

Revised N-Gram based Automatic Spelling Correction Tool to Improve Retrieval Effectiveness. - Farag Ahmed; Ernesto William De Luca; Andreas Nürnberger (Polibits, 2009)

multi Searcher: can we support people to get information from text they can't read or understand? - Farag Ahmed; Andreas Nürnberger (SIGIR, 2010)

A Web Statistics based Conflation Approach to Improve Arabic Text Retrieval. - Farag Ahmed; Andreas Nürnberger (FedCSIS, 2011)

Supporting Arabic Cross-Lingual Retrieval Using Contextual Information. - Farag Ahmed; Andreas Nürnberger; Marcus Nitsche (IRFC, 2011)

Literature review of interactive cross language information retrieval tools. - Farag Ahmed; Andreas Nürnberger (Int. Arab J. Inf. Technol., 2012)

Supporting Literature Review by Searching, Visualizing and Navigating Related Papers. - Farag Saad; Brigitte Mathiak; Peter Mutschke (CGC, 2013)

VisNavi: Citation Context Visualization and Navigation. - Farag Saad; Brigitte Mathiak (ECIR, 2013)

Query Expansion based on Conceptual and Contextual Term Relationships in Wikipedia. - Andias Wira-Alam; Farag Saad; Peter Mutschke (ISI, 2013)

Revised mutual information approach for german text sentiment classification. - Farag Saad; Brigitte Mathiak (WWW (Companion Volume), 2013)

Translation Ambiguity Resolution Using Interactive Contextual Information. - Farag Saad; Andreas Nürnberger (Computational Linguistics - Applications, 2013)

Baseline evaluation: an empirical study of the performance of machine learning algorithms in short snippet sentiment analysis. - Farag Saad (I-KNOW, 2014)

Named Entity Recognition for Biomedical Patent Text using Bi-LSTM Variants. - Farag Saad (iiWAS, 2019)

Building a Semantic Model for Linking and Visualizing Patent Citations (SeMViPaC). - Farag Saad; René Hackl-Sommer (iiWAS, 2019)

Visual Programming for Patent Mining. - Farag Saad; Hidir Aras; Stefan Helfrich (PatentSemTech@SEMANTiCS, 2019)

Improving Named Entity Recognition for Biomedical and Patent Data Using Bi-LSTM Deep Neural Network Models. - Farag Saad; Hidir Aras; René Hackl-Sommer (NLDB, 2020)

Employing Active Learning for Training a DL-Model for Citation Identification in Patent Text. - Farag Saad; Hidir Aras; Mark Prince (PatentSemTech@SIGIR, 2024)

Bridging the Innovation Gap: Leveraging Patent Information for Scientists by Constructing a Patent-centric Knowledge Graph. - Hidir Aras; Rima Dessi; Farag Saad; Lei Zhang 034 (SemTech4STLD@ESWC, 2024)