Takuya Makino

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This paper describes the textual entailment system of FLL for RITE-2 task in NTCIR-10. Our system is based on a set of local alignments conducted on different linguistic units, such as word, Japanese base phrase, numerical expression, Named Entity, and sentence. Our system uses features obtained from local alignments’ results. We applied our system to(More)
BACKGROUND Cyanobacteria possess several cytochrome P450s, but very little is known about their catalytic functions. CYP110 genes unique to cyanaobacteria are widely distributed in heterocyst-forming cyanobacteria including nitrogen-fixing genera Nostoc and Anabaena. We screened the biocatalytic functions of all P450s from three cyanobacterial strains of(More)
The pathway from beta-carotene to astaxanthin is a crucial step in the synthesis of astaxanthin, a red antioxidative ketocarotenoid that confers beneficial effects on human health. Two enzymes, a beta-carotene ketolase (carotenoid 4,4'-oxygenase) and a beta-carotene hydroxylase (carotenoid 3,3'-hydroxylase), are involved in this pathway. Cyanobacteria are(More)
Cytochrome P450 monooxygenases (P450s), which constitute a superfamily of heme-containing proteins, catalyze the direct oxidation of a variety of compounds in a regio- and stereospecific manner; therefore, they are promising catalysts for use in the oxyfunctionalization of chemicals. In the course of our comprehensive substrate screening for all 27 putative(More)
We have successfully prepared Kompeito-like platinum particles by hydrogen reduction of Pt4+ in the presence of sodium polyacrylate. We performed in situ TEM observation of these platinum particles at high temperatures. At 300 degrees C, a thin carbon layer due to polyacrylate formed on the particle surface. The detailed structure of the particles did not(More)
We describe our two query-oriented summarization systems implemented for the NTCIR-9 1CLICK task. We regard a Question Answering problem as a summarization process. Both of the systems are based on the integer linear programming technique, and consist of an abstractive summarization model and a model ensuring to cover diversified aspects for answering(More)
This paper describes our system for answering Center Exam subtask of QALab with three solvers. The first solver is based on search results obtained with different search engines as clues for answering questions. The second solver is trained with text books and virtual examples, generated automatically from text books by randomly replacing words in the text(More)
This paper proposes a query classification system for a one-click search system that uses feature vectors based on snippet similarity. The proposed system targets the NTCIR-10 1CLICK-2 query classification subtask and classifies queries in Japanese and English into eight predefined classes by using support vector machines (SVMs). In the NTCIR-9 and NTCIR-10(More)