Muhammad Haleem

Work place: Department of Information System, King Abdulaziz University, Jeddah, P.O.Box 80200, Saudi Arabia



Research Interests: Human-Computer Interaction, Autonomic Computing, Natural Language Processing, Computer Networks, Computing Platform


Muhammad Haleem received his B.Engg (Electronics Engineering) and Masters (Satellite Communication Engineering) degrees from the MUET University Pakistan and University of Surrey, UK in 2004 and 2007, respectively. In 2008, he joined COMSATS Institute of Information Technology Lahore, Pakistan. In 2011, he was being employed by the Department of Information System at King Abdulaziz University, Jeddah, Kingdom of Saudi Arabia, as a lecturer.

His areas of research are Wireless Networks, Cloud Computing and Human Language Technology.

Author Articles
Managing Lexical Ambiguity in the Generation of Referring Expressions

By Imtiaz Hussain Khan Muhammad Haleem

DOI:, Pub. Date: 8 Jul. 2013

Most existing algorithms for the Generation of Referring Expressions (GRE) tend to produce distinguishing descriptions at the semantic level, disregarding the ways in which surface issues (e.g. linguistic ambiguity) can affect their quality. In this article, we highlight limitations in an existing GRE algorithm that takes lexical ambiguity into account, and put forward some ideas to address those limitations. The proposed ideas are implemented in a GRE algorithm. We show that the revised algorithm successfully generates optimal referring expressions without greatly increasing the computational complexity of the (original) algorithm.

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