CEM AKKAYA
Ph.D. Student
Intelligent Systems Program
University of Pittsburgh, Pittsburgh, PA, 15213
Sennott Square 5422


Email : 
Office Phone: 412-624-8842

 


CS2710/ISSP2610 FAQ

CS0007 Recitation


Education


Research Interests

My research interests consist of Natural Language Processing and Machine Learning. Primarily, I am interested in the applications of Word Sense Disambiguation to Subjectivity/Sentiment Analysis. I am particularly interested in active learning and semi-supervised learning methods and also crowdsourcing. Beside this, I also worked on Information Extraction in medical domain. Here is my up-to-date Curriculum Vitae.


Publications

  • Cem Akkaya, Janyce Wiebe, and Rada Mihalcea (2012). Utilizing Semantic Composition in Distributional Semantic Models for Word Sense Discrimination and Word Sense Disambiguation. Sixth IEEE International Conference on Semantic Computing (IEEE ICSC 2012)
  • Cem Akkaya, Janyce Wiebe, Alexander Conrad and Rada Mihalcea (2011). Improving the Impact of Subjectivity Word Sense Disambiguation on Contextual Opinion Analysis. (CoNNL 2011).
  • Cem Akkaya, Alexander Conrad, Janyce Wiebe, and Rada Mihalcea (2010). Amazon Mechanical Turk for Subjectivity Word Sense Disambiguation. NAACL-HLT 2010 Workshop on Creating Speech and Language Data With Amazon's Mechanical Turk.
  • Cem Akkaya, Janyce Wiebe and Rada Mihalcea. (2009). Subjectivity Word Sense Disambiguation. (EMNLP 2009).
  • Yaw Gyamfi, Janyce Wiebe, Rada Mihalcea, and Cem Akkaya (2009). Integrating Knowledge for Subjectivity Sense Labeling. Joint Conference of the North American Chapter of the Association for Computational Linguistics and the Human Language Technologies Conference (NAACL-HLT 2009).
  • K. Kaiser, C. Akkaya, S. Miksch (2007). How can Information Extraction ease formalizing treatment processes in clinical practice guidelines? A method and its evaluation, Artificial Intelligence in Medicine
  • K. Kaiser, C. Akkaya, S. Miksch (2005). Gaining Process Information from Clinical Practice Guidelines Using Information Extraction, Proceedings of the 10th Conference on Artificial Intelligence in Medicine (AIME 2005), Springer, p. 181 - 190

  • Honors & Awards

  • 2006-2007, Arts and Sciences Fellowship, University of Pittsburgh
  • 2010-2011, Andrew Mellon Pre-Doctoral Fellowship

  • Industrial Employment

  • 2005-2006, Software Developer, Intertech
  • 2010, Summer Intern, Yahoo! Inc.