(Mehmet) Ergun Biçici PhD Candidate Department of Electrical and Computer Engineering, Koç University Postal Address: Department of Electrical and Computer Engineering, Koç University Engineering Building 228 Rumelifeneri Yolu, Sariyer Istanbul, Turkey, 34450 Phone: +90 (212) 338 1000 Ext: 2641 Fax: +90 (212) 338 1548 E-mail: (Work Related)                (Others)

• Machine Translation:
  Language modeling, computational linguistics, natural language processing.
• Knowledge Discovery:
  Support Vector Machines, Inductive Logic Programming, Clustering, Instance-Based Learning, Formal Concept Analysis, text mining.
• Semantic Understanding:
  Semantic information processing, consensus ontologies, text understanding, question answering, formal context.
• Artificial Intelligence:
  Commonsense reasoning, knowledge representation for medical information, Description Logics, semantic web.

• I have spent a great summer working on hybrid machine translation systems at Xerox Research Centre Europe in 2007.

1. Corpus Links

2. WorkStudy Spring 2006

PUBLICATIONS / WORKS
. [2004] Ergun M. Bicici.
Relational Learning from Drug Adverse Events Reports.
NC Symposium on Biotechnology & Bioinformatics (IEEE Tech4Life Conference).
[IEEE Link] [Paper, PDF] [Presentation, PDF]

Abstract: We applied relational learning to discover rules from adverse events reports. We used the FOIL relational learning system to find a set of rules for withdrawn drugs. We compared our results with FDA's reasons for withdrawal.