Cooking recipes exist in abundance; but due to their unstructured text format, they are hard to study quantitatively beyond treating them as simple bags of words. In this paper, we proposed an ingredient- instruction dependency tree data structure to represent recipes.
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Computational Approaches to Modeling Language Lab
CAMeL Lab (Computational Approaches to Modeling Language) is a research lab at New York University Abu Dhabi established in September 2014. CAMeL's mission is research and education in natural language processing, computational linguistics, and data science.
Research Areas Description Arabic Natural Language Processing Includes research in morphological analysis and disambiguation, syntactic analysis, sentiment analysis, and dialectal processing. Machine Translation Specific focus on translation for low resource languages, languages with rich morphologies, and hybrid approaches to machine translation. Information Retrieval Specific focus on speech retrieval.
CAMeL Lab is part of the CADIM Consortium, which is comprised of three research labs with very active collaboration in Columbia University, George Washington University, and New York University Abu Dhabi.
Additionally, CAMeL researchers have been involved in collaborations with researchers in Qatar Computing Research Institute, Carnegie Mellon University (Pittsburgh and Qatar), Qatar University, Birzeit University, The American University in Beirut, University of Montreal, University of Malta, University of Bahrain, and Rutgers University.
The goal of this work is to build speech-based search engines for low resource languages. There are several challenges in building such engines — this project focuses on two: mitigating the verbosity of spoken queries, and utilizing methods of speech processing that do not require a language model.
Computational Research Building (A2)
PO Box 129188
Abu Dhabi, United Arab Emirates
Nizar Habash, Director
Associate Professor of Computer Science
Phone: +971 2 628-4578