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	<pub:InProceedings rdf:about="http://ebiquity.umbc.edu/paper/html/id/905/Quantum-Artificial-Intelligence-for-Natural-Language-Processing-Applications">
		<rdfs:label><![CDATA[Quantum Artificial Intelligence for Natural Language Processing Applications]]></rdfs:label>
		<pub:title><![CDATA[Quantum Artificial Intelligence for Natural Language Processing Applications]]></pub:title>
		<pub:publishedOn rdf:datatype="&xsd;dateTime">2018-02-01T00:00:00-05:00</pub:publishedOn>
		<pub:abstract><![CDATA[Natural Language Processing and Semantic Web include several NP complete/hard problems that are intractable for classical computing machines. Even though distributed computing has provided remarkable advances (more precisely in dealing with big data), non-decomposable NP problems are still intractable in many real-world applications. And, from a quantum computing perspective, solving complex problems with universal quantum gates requires the developing of quantum algorithms. Considering commercializing quantum annealing machines by D-Wave, achieving global optimum for discrete optimization problems has been realized. In this study, a novel approach has been introduced to convert symbolic AI problems into quadratic unconstrained binary optimization (QUBO) form. More narrowly, this method represents the classification of text documents (fragments) as optimizing a QUBO function. After embedding the training corpus into a QUBO function, D-Wave quantum annealer is used to classify new observations by finding the minimum energy level of the system.]]></pub:abstract>
		<pub:note><![CDATA[Abstract only]]></pub:note>
		<pub:tag><![CDATA[natural language processing]]></pub:tag>
		<pub:tag><![CDATA[quantum computing]]></pub:tag>
		<pub:booktitle><![CDATA[SIGCSE '18: Proceedings of the 49th ACM Technical Symposium on Computer Science Education]]></pub:booktitle>
		<pub:publisher><![CDATA[ACM]]></pub:publisher>
		<pub:author>
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					<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Ramin/Ayanzadeh"><person:name><![CDATA[Ramin Ayanzadeh]]></person:name><rdfs:label><![CDATA[Ramin Ayanzadeh]]></rdfs:label></person:Person>
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<person:Person rdf:about="http://ebiquity.umbc.edu/person/html/Ramin/Ayanzadeh"><person:name><![CDATA[Ramin Ayanzadeh]]></person:name><rdfs:label><![CDATA[Ramin Ayanzadeh]]></rdfs:label></person:Person>
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