536 research outputs found
Distributed Document Representation for Document Classification
No full textThe distributed vector representations learned from the deep learning framework have shown its great power in capturing the semantic meaning of words, phrases and sentences, from which multiple NLP applications have benefited. As words combine to form the meaning of sentences, so do sentences combine to form the meaning of documents, the idea of representing each document with a dense distributed representation holds promise. In this paper, we propose a supervised framework (Compound RNN) for document classification based on document-level distributed representations learned from deep learning architecture. Our framework first obtains the distributed representation at sentence-level by operating on the parse tree structure from recursive neural network, and then obtains the document presentation-level by convoluting the sentence vectors from a recurrent neural network. Our framework (Compound RNN) outperforms existing document representations such as bag-of-words, LDA in multiple text classification/regression tasks.EICPCI-S(ISTP)[email protected]; [email protected]
Changes in Food Production and Environmental Effects Associated with Economic Growth: A Comparative Study of China and India
No full text中国とインドの食料生産・消費に伴う窒素フローを統計データに基づいて推定し、1961 年から2005 年の45 年間の食料消費傾向の変化を比較した。中国では改革開放政策が開始された1980年頃から一人当たりタンパク質消費量が急増し、特に肉・卵など畜産品の消費拡大が顕著である。インドでも同時期に一人当たり消費量の増加が見られるが増加率は小さく1990 年の新経済政策以降はむしろ減少傾向にある。この間人口は中国で2 倍、インドで2.5 倍に増加し、増大する作物需要を満たすために、両国とも化学肥料使用量が急増し、農地における過剰窒素が環境への負荷となっていると推定された。日本や東南アジアを含むインド以東のアジアを対象に、農地からの窒素流出、人の食生活からの排出、大気沈着を考慮して河川水窒素濃度分布を推定した結果、中国華北平原東部や東北地方で広域的に汚染が進んでいること、インドではガンジス平原部および南部の河川で高濃度であることが推定された。Nitrogen flow associated with food production and consumption was estimated for China and India and dietary changes during 45 years from 1961 to 2005 were compared. Per capita protein intake has rapidly increased, especially due to the increase of meat and egg consumption in China since the economic reforms around 1980. In India, per capita intake increased slowly in the 1980s while it tended to decrease after the 1990s. Population increased by 2 times in China and 2.5 times in India in this period of 45 years and there has been a greater demand for food. In order to produce enough food, increasing amounts of chemical fertilizer are being used recently and the nitrogen surplus in farmland is considered to cause an environmental burden. The spatial distribution of nitrogen concentration in river water was estimated by taking the nitrogen leaching from farmland, human waste and atmospheric deposition into consideration for India and eastward Asian countries. It was predicted that wide areas close to the east coast of Northern and Central China were highly polluted with nitrogen and that rivers in the Gangetic Plain and southern part of India had high concentrations
Understanding pluripotency - how embryonic stem cells keep their options open
No full textCopyright © The Author 2008. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. All rights reserved.Embryonic stem (ES) cells have the capacity to proliferate indefinitely in culture while maintaining the ability to differentiate to form any of the cells of the body. This unique combination of functions suggests that these cells could provide a potentially unlimited source of differentiated cells for the treatment of disease and aging. Understanding the molecular processes that underpin these functions in ES cells will allow us to harness their potential and develop strategies that control their differentiation. Combination of controlled differentiation with ground-breaking technologies for the reversal of somatic cells to an ES cell-like state promise the generation of patient-derived pluripotent cell lines for the treatment of disease in the future.B.V. Johnson, N. Shindo, P.D. Rathjen, J. Rathjen and R.A. Keoug
Exploiting Syntactic Similarities for Preposition Error Corrections on Indonesian Sentences Written by Second Language Learner
No full textAbstractWe propose a method to artificially generate training data to correct preposition errors in Indonesian sentences written by second language learners. Basically, we injected large size of native sentences with preposition errors learned from learners’ sentences. Our method copies a preposition error from a learner sentence to a native sentence by firstly calculating a syntactic similarity score between the native sentence and the learners’ sentence. Then, it chooses the preposition error from the learner sentence that has the highest syntactic similarity score to the native sentence, to replace the original preposition in the native sentence.Experimental results show that the preposition error correction model trained on the artificial data resulted from our method outperforms the correction model trained on the similar size of native data
High-accuracy optical proximity correction modeling using advanced critical dimension scanning electron microscope–based contours in next-generation lithography
No full textNumerical studies of surface-ion neutralization
No full textPT: J; CR: AMOS AT, 1986, PHYS LETT A, V118, P471 DAVISON SG, 1986, J ELECTROANAL CH INF, V204, P173 GRIMLEY TB, 1970, J PHYS C, V3, P1934 MCDOWELL HK, 1982, CHEM PHYS, V72, P451 MCDOWELL HK, 1982, J CHEM PHYS, V77, P3263 MUDA Y, 1980, SURF SCI, V97, P283 SEBASTIAN KL, 1981, SURF SCI, V110, L571 SHINDO S, 1986, SURF SCI, V165, P477 SULSTON KW, 1987, SOLID STATE COMMUN, V62, P781 SULSTON KW, 1988, SURF SCI, V197, P555 YOSHIMORI A, 1986, PROG SURF SCI, V21, P251; NR: 11; TC: 6; J9: CHEM PHYS; PG: 5; GA: P8655Source type: Electronic(1
Comparative study of approximate theoretical treatments of surface-ion neutralization
No full textPT: J; CR: AMOS AT, 1986, PHYS LETT A, V118, P471 BLANDIN A, 1976, J PHYSIQUE, V37, P369 BLOSS W, 1978, SURF SCI, V72, P277 BRAKO R, 1981, SURF SCI, V108, P253 DAVISON SG, 1986, J ELECTROANAL CH INF, V204, P173 ERICKSON RL, 1975, PHYS REV LETT, V34, P297 MCDOWELL HK, 1982, J CHEM PHYS, V77, P3263 MCDOWELL HK, 1985, J CHEM PHYS, V83, P772 MUDA Y, 1980, SURF SCI, V97, P283 ROSEN N, 1932, PHYS REV, V40, P502 RUSCH TW, 1977, INELASTIC ION SURFAC, P73 SEBASTIAN KL, 1981, SURF SCI, V110, L571 SHINDO S, 1986, SURF SCI, V165, P477 SULSTON KW, 1987, SOLID STATE COMMUN, V62, P781 YOSHIMORI A, 1986, PROG SURF SCI, V21, P251; NR: 15; TC: 25; J9: SURFACE SCI; PG: 12; GA: M8964Source type: Electronic(1
A hierarchical tree model for update summarization
No full textUpdate summarization is a new challenge which combines salience ranking with novelty detection. This paper presents a generative hierarchical tree model (HTMfor short) based on Hierarchical Latent Dirichlet Allocation (hLDA) to discover the topic structure within history dataset and update dataset. From the tree structure, we can clearly identify the diversity and commonality between history dataset and update dataset. A summary ranking approach is proposed based on such structure by considering different aspects such as focus, novelty and nonredundancy. Experimental results show the effectiveness of our model. ? Springer International Publishing Switzerland 2015.EI
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