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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 9 of 9 1 Resolving syntactic ambiguities in natural language specification of constraints Imran Sarwar Bajwa; Mark Lee; Behzad Bordbar In: http://www.cs.bham.ac.uk/~isb855/papers/CICLING_2012.pdf (2012) BASE Show details 2 Web Information Mining Framework using XML Based Knowledge Representation Engine Imran Sarwar Bajwa; M. Asif Naeem; Muhamam Nawaz In: http://www.buitms.edu.pk/research/docs/data mining/xml based kre - ise 2006.pdf (2006) BASE Show details 3 Rule based Production Systems for Automatic Code Generation in Java Imran Sarwar Bajwa; M. Imran Siddique; M. Abbas Choudhary In: http://www.cs.bham.ac.uk/~isb855/papers/ICDIM06.pdf (2006) BASE Show details 4 Natural Language Processing based Automatic Multilingual Code Generation Imran Sarwar Bajwa; M. Shahid Naveed; M. Abbas Choudhary In: http://www.cs.bham.ac.uk/~isb855/papers/07 - Multi-lingual Code.pdf BASE Show details 5 AUTOMATIC DOMAIN SPECIFIC TERMINOLOGY EXTRACTION USING A DECISION SUPPORT SYSTEM Imran Sarwar Bajwa; Imran Siddique; M. Abbas Choudhary In: http://www.cs.bham.ac.uk/~isb855/papers/Domain Specific Terminology.pdf BASE Show details 6 Proceedings of the Twenty-Fifth International Florida Artificial Intelligence Research Society Conference Addressing Semantic Ambiguities in Natural Language Constraints Imran Sarwar Bajwa; Mark Lee; Behzad Bordbar; Ahsan Ali In: http://www.cs.bham.ac.uk/~isb855/papers/FLAIRS_2.pdf Abstract: In NL2OCL project, we aim to translate English specification of constraints to formal constraints such as OCL (Object Constraint Language). In English to OCL translation, our contribution is a semantic analyzer that uses the output of the Stanford parser for shallow and deep semantic parsing. Our analysis of the output of shallow semantic parsing showed that semantic roles were misidentified for a few English constraints due to semantic ambiguity. Similarly, in deep semantic parsing, it is difficult to resolve scope of quantifier operators due to scope ambiguity that is another sub-type of semantic ambiguity. In this paper, we highlight the identified cases of semantic ambiguities in English constraints. We also present a novel approach to automatically resolve the identified cases of the semantic ambiguities. The presented approach is also evaluated to show that by addressing the identified cases of semantic ambiguities, we can generate more accurate and complete formal (OCL) specifications. 1. URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.4319 http://www.cs.bham.ac.uk/~isb855/papers/FLAIRS_2.pdf BASE Hide details 7 Context based meaning extraction by means of markov logic Imran Sarwar Bajwa In: http://www.cs.bham.ac.uk/~isb855/papers/2010 - Meaning Extraction - IJCTE 2(1).pdf BASE Show details 8 Language Engineering System for Automatic Conversion of English Cyber Data into Urdu Websites Imran Sarwar Bajwa; M. Abbas Choudhary In: http://www.cs.bham.ac.uk/~isb855/papers/ICCA06_.pdf BASE Show details 9 Speech Language Context Understanding using a Rule Based Framework Imran Sarwar Bajwa; Dr. M. Abbas Choudhary In: http://www.cs.bham.ac.uk/~isb855/papers/05 - Text Understanding.pdf BASE Show details

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