Douglas W. Oard mainly investigates Information retrieval, Artificial intelligence, Natural language processing, Relevance and Human–computer information retrieval. In his works, Douglas W. Oard undertakes multidisciplinary study on Information retrieval and Term. His Artificial intelligence research focuses on Clef and how it connects with Fuzzy logic.
His Natural language processing research is mostly focused on the topic Cross-language information retrieval. As part of one scientific family, Douglas W. Oard deals mainly with the area of Relevance, narrowing it down to issues related to the Test, and often Variety, Formative assessment and Ranking. His research integrates issues of Document retrieval and Concept search in his study of Human–computer information retrieval.
The scientist’s investigation covers issues in Information retrieval, Artificial intelligence, Natural language processing, World Wide Web and Relevance. His Information retrieval research incorporates elements of Test and Clef. As a part of the same scientific family, Douglas W. Oard mostly works in the field of Artificial intelligence, focusing on Query expansion and, on occasion, Query language.
The various areas that Douglas W. Oard examines in his Natural language processing study include Translation, Arabic, Search engine indexing and Multilingualism. His Machine translation research integrates issues from Information access, Context and Rule-based machine translation. His work deals with themes such as Document retrieval and Concept search, which intersect with Human–computer information retrieval.
Douglas W. Oard focuses on Information retrieval, Artificial intelligence, Test, Natural language processing and Clef. His Information retrieval research is multidisciplinary, incorporating elements of Annotation and Machine translation. His study in Artificial intelligence is interdisciplinary in nature, drawing from both Duality and Pattern recognition.
His Test research is multidisciplinary, incorporating perspectives in Coreference, Information access, Patent application, Privilege and Custodians. Douglas W. Oard interconnects Entity linking, Traceability and Selection in the investigation of issues within Natural language processing. Douglas W. Oard combines subjects such as Question answering, Semantic analysis and Mathematics education with his study of Clef.
Douglas W. Oard mainly focuses on Information retrieval, Test, Relevance, Entity linking and Artificial intelligence. His Information retrieval research includes themes of As is and Index. Douglas W. Oard has included themes like Question answering, Learning to rank and Clef in his Relevance study.
His studies link Natural language processing with Entity linking. The concepts of his Natural language processing study are interwoven with issues in Query by Example, Linguistic Data Consortium and Coreference. Many of his studies on Artificial intelligence apply to Pattern recognition as well.
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Implicit Feedback for Recommender Systems
Douglas W Oard;Jinmook Kim.
A survey of information retrieval and filtering methods
Christos Faloutsos;Douglas W. Oard.
Pairwise Document Similarity in Large Collections with MapReduce
Tamer Elsayed;Jimmy Lin;Douglas Oard.
meeting of the association for computational linguistics (2008)
Cross-Language Information Retrieval.
Douglas W. Oard;Anne R. Diekema.
Annual Review of Information Science and Technology (ARIST) (1998)
Confidentiality-preserving rank-ordered search
Ashwin Swaminathan;Yinian Mao;Guan-Ming Su;Hongmei Gou.
workshop on storage security and survivability (2007)
ENSM-SE at CLEF 2006 : Fuzzy Proximity Method with an Adhoc Influence Function in Evaluation of Multilingual and Multi-modal Information Retrieval 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Alicante, Spain
Carol Peters;Paul Clough;Fredric C. Gey;Jussi Karlgren.
Lecture Notes in Computer Science (2007)
Textual Data Mining to Support Science and Technology Management
Paul Losiewicz;Douglas W. Oard;Ronald N. Kostoff.
intelligent information systems (2000)
A survey of multilingual text retrieval
Douglas W. Oard;Bonnie J. Dorr.
Advances in Multilingual and Multimodal Information Retrieval
Carol Peters;Valentin Jijkoun;Thomas Mandl;Henning Müller.
The State of the Art in Text Filtering
Douglas W. Oard.
User Modeling and User-adapted Interaction (1997)
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