Matches in DBpedia 2016-04 for { ?s ?p "Jaime Guillermo Carbonell (born July 29, 1953) is a computer scientist who has made seminal contributions to the development of natural language processing tools and technologies. His extensive research in machine translation has resulted in the development of several state-of-the-art language translation and artificial intelligence systems. He earned his B.S. degrees in Physics and in Mathematics from MIT in 1975 and did his Ph.D. under Dr. Roger Schank at Yale University in 1979. He joined Carnegie Mellon University as an assistant professor of computer science in 1979 and has lived in Pittsburgh since then.His interests span several areas of artificial intelligence, language technologies and machine learning. In particular, his research is focused on areas such as text mining (extraction, categorization, novelty detection) and in new theoretical frameworks such as a unified utility-based theory bridging information retrieval, summarization, free-text question-answering and related tasks. He also works on machine translation, both high-accuracy knowledge-based MT and machine learning for corpus-based MT (such as generalized example-based MT)."@en }
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- Jaime_Carbonell abstract "Jaime Guillermo Carbonell (born July 29, 1953) is a computer scientist who has made seminal contributions to the development of natural language processing tools and technologies. His extensive research in machine translation has resulted in the development of several state-of-the-art language translation and artificial intelligence systems. He earned his B.S. degrees in Physics and in Mathematics from MIT in 1975 and did his Ph.D. under Dr. Roger Schank at Yale University in 1979. He joined Carnegie Mellon University as an assistant professor of computer science in 1979 and has lived in Pittsburgh since then.His interests span several areas of artificial intelligence, language technologies and machine learning. In particular, his research is focused on areas such as text mining (extraction, categorization, novelty detection) and in new theoretical frameworks such as a unified utility-based theory bridging information retrieval, summarization, free-text question-answering and related tasks. He also works on machine translation, both high-accuracy knowledge-based MT and machine learning for corpus-based MT (such as generalized example-based MT).".
- Q6123694 abstract "Jaime Guillermo Carbonell (born July 29, 1953) is a computer scientist who has made seminal contributions to the development of natural language processing tools and technologies. His extensive research in machine translation has resulted in the development of several state-of-the-art language translation and artificial intelligence systems. He earned his B.S. degrees in Physics and in Mathematics from MIT in 1975 and did his Ph.D. under Dr. Roger Schank at Yale University in 1979. He joined Carnegie Mellon University as an assistant professor of computer science in 1979 and has lived in Pittsburgh since then.His interests span several areas of artificial intelligence, language technologies and machine learning. In particular, his research is focused on areas such as text mining (extraction, categorization, novelty detection) and in new theoretical frameworks such as a unified utility-based theory bridging information retrieval, summarization, free-text question-answering and related tasks. He also works on machine translation, both high-accuracy knowledge-based MT and machine learning for corpus-based MT (such as generalized example-based MT).".